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Questions related to Biometrics
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Hi
Is there any leads to evaluate the thesis by the foreign University professor cadre in the field of image processing especially biometric image processing?
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I am not sure if anyone is able to understand your question. Hence, you will likely not get any satisfactory answer here.
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Dear colleagues,
Together with Davide Scaccini and Paul Hendriks we are interested in gathering biometric data for the lesser stag beetle Dorcus parallelipipedus, larval and adult stage, across its range. If you have any and are willing to share it, please get in touch with me. My email is mariafremlin@gmail.com.
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Dorcus parallelipipedus, the lesser stag beetle, is a species of stag beetle found in Europe.
Regards,
Shafagat
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Greetings, are there any biometric software products that are open source? Interested in biometrics of the dorsal vein of the palm. I'm working on a new kind of artifact to attack, I need to create a test sandbox.
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Pavel V. Mizinov Palm vein recognition is a biometric identification method based on the distinct patterns of veins in people's hands' palms. Palm vein recognition systems, like many other biometric technologies, take an image of a target, gather and process image data, and match it to an individual's stored record.
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How strong is the link?
Verification terms??
How accurate?
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Biometric systems are usually used for identifying, and subsequent authentication of, authorized users. Biometric systems could, therefore, be used whenever there is the need for such a control in IOT.
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Please share
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biographic data, many ID systems collect fingerprints, iris scans, facial images, and/or other biometry to use for biometric recognition—automatic recognition of individuals based on their biological or behavioral characteristics (ISO/IEC 2382-37)
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Hi, I am working on a biometric system based on EEG signals. I have a database of 100 users with 70 trail each. I have extracted the features of each user using wavelets, AR model, and tried different classifiers such as SVM, k-NN, MLP to classify them. But I got accuracy up to 50% only. Can someone please tell me which classifier or feature extraction algo to use to get better results.
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Each classifier has their strength and limitation. You can read about SVM and kNN in this article for an overview:
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looking for someone working in psychology to discuss with him or her about my research idea.
Specially the Attractiveness.
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نعم انا حاضر
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Dear colleagues,
I used the R package for line*tester analysis (Agricolae library).
It calculated the GCA effects, SCA Effects, S.E. (gca for line), S.E. (gca for tester) and S.E. (sca effect).
The experimental material comprises eight genotypes. Five genotypes were used as females (line) and three genotypes were used as males (testers).
The 15 F1’s and their parents were evaluated in a randomized complete block design with three replications.
I want to know the degree of freedom (T-test table) for performing the significance test of General combining ability (gi) effects and Specific combining ability (sij) effects.
Regards
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For significance test of both GCA (of lines and testers) and SCA (of crosses) effects, you should consider error degree of freedom, that is, (r-1) x (tr-1) = 2 x 22 = 44.
For further detals, you may go through:
Sharma JR. 1998. Statistical and biometrical techniques in plant breeding. New Age International Publishers, New Delhi, Pp. 138-152.
Singh RK and Chaudhary BD. 1996. Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi, Pp. 205-214.
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Dear all,
I want to analyze a factorial split-plot in time using SAS.
Factorial Experiment using Completely Randomized Design (CRD);
Factor A: treatments (a1-a4)
Factor B: harvest time, different days after treatment (b1-b5)
Replication: 3
Does anyone have SAS codes for this analysis?
Regards,
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I`m organizing a testing campaign to evaluate a set tools designed for astronauts using VR (Virtual Reality). To measure the design performance we will use two well established performance evaluation methods, but they are both qualitative (NASA TLX and mSUS). I had the idea to add a quantitative control data layer to the experiment, using biometric feedbacks from wearable sensors.
Since I`m not a physician, I`m not sure which kind of data (and so sensors) will be best suited to measure stress and focus, and which indicators to look for. On the market there is a huge range of wearable sensors (hearth monitors, skin temperature and moisture, breathing levels, ECG).
Thank you for any suggestions or researches you can share on this topic.
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You can use biomarkers (hormones) to measure stress and focus.
For instance, you can track the levels of cortisol and dopamine in saliva, sweat and/or blood before, during and after the given tasks.
There are plenty of kits on the market to easily determine quantitatively those hormones.
If you need references pls let me know so I can look up some and share with you.
Best,
Hector.
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Dear colleagues,
I used the R package for line*tester analysis (Agricolae library).
It calculated the General combining ability effects (GCA) of parents, but I don't know how to calculate the significance of the results.
In addition, I want to Estimate Narrow sense heritability and Heterosis (Better Parent (BP) and Mid-Parent (MP)) for hybrids by R.
Does anyone have a solution?
Regards
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Dear @Mostafa Modarresi Please go through below mentioned books:
1. Biometrical methods in quantitative genetic analysis by Singh, R. K. and Chaudhary, B. D., Kalyani Publishers, New Delhi
2. Quantitative Genetics in Maize Breeding by Arnel R. Hallauer, J. B. Miranda Filho, and Marcelo J. Carena, Springer
In addition, you can also access a paper of your interest. Hopefully, you can find solution to your problem.
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The software will be used for UX and marketing studies where the participants attend remotely by their laptop or PC (with camera on it)
What is the most comprehensive and the best software company offering eye tracking and facial expression analysis ?
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Hello everyone,
I need palm images with RGB and NIR channels for my research. So, I would like to request CASIA multispectral Palmprint database. But the registration link provided in this website (http://www.cbsr.ia.ac.cn/english/MS_PalmprintDatabases.asp) is not working. And I have sent mails to ask for help to many professors in CASIA for over one month. But I didn't receive a response, yet. Could anyone tell me how to request the database? Or if it is no longer available to the public?
I appreciate your help or advice of the information needed in order to pursue my studies.
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I found that page updated. (http://biometrics.idealtest.org)
But, the register page always show "invalid param" without telling me which param is wrong. I checked the payload, and find the request field "address" is empty. However, there is no address field in the register form.
So, I still can't download the database.
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I am currently preparing a paper on feeding regimes in some European syngnathids. I am highly interested in data on mouth and snout (especially mouth gape )biometrics in adults of the following species: the seahorse Hippocampus guttulatus, and the pipefishes Syngnathus acus and Entelurus aequoreus. The aim is to assess any relationship between those biometrics and the composition of the diet in the wild. I would greatly appreciate any information. Thank you very much in advance.
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Dear Sule,
Thank you very much for the papers.
Are you currently sampling syngnathids or planning more surveys in the field?
My best wishes,
Miquel
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There is research going on to include many technologies within the same project, So wanted to know the best way/idea to include biometrics within the block chain technology, Are there any good suggestions on this topic from any researcher here?.. Thanks
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Now face recognition technology is very mature, so I think face recognition will be a better way.
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I'm trying to follow through using the hyperbolic tangent for score normalization as here:
It states there that the final values should be between 0 and 1, however my final output is in the range between 0.47 and 0.51 for a number of sets of scores.
Most of these sets are already between the range [0,1] - although some have quite a different range of separability between genuine and mismatch scores.
The process I am performing is to calculate the mean of all genuine match scores, and the standard deviation of the entire set (as described in the paper) - and then I parse it into a tanh normalization function. I notice some other papers use a different set of means/standard deviations, but all combinations I try end up with similar results.
Here is my normalization code (written in Rust). Constants is just a struct containing all stats for genuine/mismatch/all.
pub fn tanh_normalization(score: f32, constants: &ScoreConstants) -> f32 {
let internal = 0.01 * (score - constants.genuine.mean) / constants.all.standard_deviation;
return 0.5 * (internal.tanh() + 1.);
}
Does anyone have any ideas that could help me? Or any other papers related to this that might help?
Thanks in advance.
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How secure is personal biometric data in the Database application system from the operator?
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This is a very vague question. If you seek for a general approach, please utilize examples such as that at http://www.csjournals.com/IJCSC/PDF4-2/44.%20Sheetal.pdf!
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Hello everyone,
I'm currently a PhD student working on biometrics. I tried to download the following databases:
1. The Hong Kong Polytechnic University (PolyU) Palmprint database.
2. The Hong Kong Polytechnic University (PolyU) Multispectral Palmprint database.
I have filled out and submitted the requested informations and contacted the emails provided on the web site but I haven't received a response neither the information needed to access the database.
I highly appreciate your help or advice to obtain the information needed in order to pursue my studies.
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I am currently searching for the "PolyU Palmprint Database", too, but when I try to access the URL OP posted, all I get is a "403 Forbidden" response. Any ideas where else I could find this database?
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I would like to programming my project for securing coap protocol with symmetric key and biometric by HLPSL in span of AVISPA and would like to learn about your experience with this tool.
Thanks
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Thank you for sharing this question
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I would like to know which method is the best for image pre-processing.
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This depends on the aim of the pre-processing, you may need to illustrate your question.
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I am in need of classifying the handveins as genuine and imposter. How do i make the datasets as genuine and imposter in order to classify.Please suggest the methods.
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For authentication, if user gives correct (his own) biometrics as input, it is called genuine and if user enters his name/ID incorrectly (other's name) or enters other person's biometric (fake finger), it is called imposter. To create such database, you can test number of subjects with their correct biometrics for genuine dataset and enter incorrect biometrics (other person's biometric) for imposter dataset
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I am doing a survey on existing biometric identifiers. I would appreciate feedback from you on existing identifiers, and their known issues.
The few I know are: Retina, fingerprint, voice, face
Is ECG a stable identifier ? or, too early in research stages ?
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The most popular biometric identifiers, i.e. fingerprint, eye retina, face geometry, voice recognition, scan of the blood vessel mesh of a finger or hand, etc., are used to identify people in banking as a form of signing and / or coding access to a bank account, etc.
Regards,
Dariusz Prokopowicz
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Does it protect our privacy as well as it protects our devices’ security?
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Thanks for telling that .
can you please send the paper who claimed that ?
regards
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I' m working on a project on vein matching and urgently need a dataset of images.
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You can find several medical image dataset in:
Data SUAS Dorsal Hand Vein Database
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many biometric systems such as fingerprint, palm print and iris have been developed for several years. Nowadays, many researchers are interested in developing new and more efficient biometric systems by using alternative features. In line with this, a newer characteristic that is dorsal hand vein patterns are used to identify an individual because its uniqueness, reliability, permanence and difficulty to forge.
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This dataset will be used in the context of a University Course.
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Hello help please
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Azimi M, Rasoulinejad SA, Pacut A. Iris recognition under the influence of diabetes. Biomed Tech (Berl). 2019 Dec 18;64(6):683-689. doi: 10.1515/bmt-2018-0190. PubMed PMID: 31322999.
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I would like to hear from people with interest in this project or Artificial Intelligence and Biometrics Systems
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When you train the machine learning model for face recognition, make sure you include sufficient data. Especially include dark-skinned images with multi-color and light backgrounds. However, make sure you also include fair-skinned images as well. It would also be a good approach to manually sort pictures according to pigments, then create multiple models for each set. This way, you can follow a multimodal approach, which I feel could improve results.
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The World Food Programme of the United Nations effectively deployed humanitarian aid to 10,000 Syrian refugees using Ethereum, a blockchain-based crypto currency.
In this massive deployment, unlike earlier mobile money solutions built around smartphones, the personal biometrics (eye scan, fingerprints) were used to verify the beneficiary.
The question then becomes; Will an electronic payment system (global or local) built on Distributed Ledger Technology (DLT), ie the Blockchain, necessarily require smartphones in order to be efficient and effective in its diffusion and adoption by end-users, especially those in the low-wage earning demographic ?  What is the best role for the smartphone is this ecosystem ?
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Dear colleague,
Please refer to these papers....
I hope they help.
regards
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I have a keystroke model which is one of the modes in my multimodal biometric system. The keystroke model gives me an EER of 0.09 using Manhattan Scaled Distance. But then I am normalizing this distance to fit in the range of [0, 1] using tanh normalization. And when I run a check on the normalized scores I am getting an EER of 0.997. Is there something I am doing wrong? The tanh normalization I am calculating based on the mean and std dev of matching scores for genuine users.
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Where can I get any good content or research papers based on animal biometric using iris pattern especially
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Dear Akash Selvam , you may look at the following survey paper:
S. Kumar and S. K. Singh, "Visual animal biometrics: survey," in IET Biometrics, vol. 6, no. 3, pp. 139-156, 5 2017. doi: 10.1049/iet-bmt.2016.0017
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The most prominent that the vein pattern is extremely difficult to extract because finger vein images are always low in quality, gravely hampering the feature extraction and classification stages. Sophisticated algorithms need to be designed.
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can we use score level fusion of Genuine and Imposter scores of a multi-Biomteric techniques to multimodal emotion recognition ?
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The performance of any unimodal biometric system is dependent on factors like environment, atmosphere, sensor precision. Also, there are several trait specific challenges such as pose, expression, aging etc for face recognition, occlusion and acquisition related issues for iris and poor quality and social acceptance related issues for fingerprint. Hence, fusion of more than one biometric samples, traits or algorithms to achieve superior performance is an alternative way to achieve the better performance and is termed in literature as multi-biometrics or multimodal biometrics.
Refere the following link. It may be useful for you.
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I want to use bioinformatics to develop image steganography please I need the paper works in this field
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Try to depart from the following literature:
"A skin tone detection algorithm for an adaptive approach to steganography"
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Regards, I am working in the biometrics area and I am trying to get the NCUT database of hand dorsal veins but it had been impossible. Had Someone worked with that database?
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Dear Julian Ruiz,
1. How to you real protect the users bio-metric data template in the database? the physical mechanism used?
2. What dangers have you ever encountered within the database for vulnerabilities attacks?
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Encryption-decryption algorithm based on Cryptography module using Fernet key instance
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Dear Dariusz,
Thank you very much for pointing out the issues of the security breaches, looking at the database as the storage aspect. What do you think could be the best mechanism to protect the biometric data in the database server.
Any link to the papers and the books is welcomed
Kind regards
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Encoding of biometric data to arithmetic for use in cryptography
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Bio-hashing and cancellable biometric approach can help in some extend
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Applications like online-banking or online-shopping cater services to multiple users. Suppose each user can access these applications by login with their unique ID followed by providing their biometric-based signature (e.g., face, fingerprint, voice, swipe gesture, etc.).
  1. Which classification model, i.e., one-class or multi-class will be more justified for such systems.
  2. If one constructed a multi-class authentication model, then how to handle the situation to add a new user. Do a model required to be reconstructed every time?
  3. As the users data is already labeled so why not the one-class authentication model more suitable option? Simply, a labeled input query can be verified with the template stored for that label only.
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I would like to hear from researchers who have used smart rings with heart rate monitors or any other biometric sensing mechanisms, what is your experience, do you have a favourate?
regards,
Eiman
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We have used plethysmography data. A plethysmograph measures blood volume in the subject’s thumb. We have used this data to detect emotions of the participants. But plethysmography measurement can also be used to compute the heart rate (HR). We have also seen that blood pressure and heart rate variability correlate with emotions. Further details can be found via
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A Share Link is created– a URL providing 50 days' free access to the article " Dynamic Digest Based Authentication for Client-Server systems using Biometric Verification ".
Anyone clicking on this link before August 03, 2019 will be taken directly to the final version of your article on ScienceDirect, which they are welcome to read or download. No sign up, registration or fees are required.
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I wash to help you
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hello sir, i am just entered in cancelable field started my phd in this year. i want to ask you what are the new area in cancelable field.acutally i want to work in providing security in cancelable biometric.
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Yasser Abdelsatar Ok, I sent the following materials
1- De-Synchronization Attack
2- SIP Issues & Challenges - What type of attack is possible on SIP
3- Distributed Computing Environment related materials
4- Biometric related materials how it used for security purposes
5- AODV & AOMDV protocol detection and elimination
6- Discrete Logarithmic Function Based materials
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Hi,
I have pairs of data for two different methods (i.e., biometric data taken for two different sensors). However, those data are repeated for each human subject (i.e., each sensor captures biometric data several times for each subject).
For example,
Human Subject      Method x     -      Method y
    1                               4.231               5.53344
    1                               2.112               4.111
    .......
    2                               1.432               2.473
    2                               7.666               3.234   
.....................           
Since we have the following: 
1) two groups where the dependent variable is the biometric variable 
and independent variables refer to sensors (i.e., different methods),
2) Data are continuous,
3) The data follow the normal distribution
This will allow us to use the paired t-test. The only thing that I am not sure about is that can we simply put the two columns Method x and y and run the t-test? My understanding is that we cannot and we need to take the mean for each subject and then use them for the t-test instead of the actual data.
Let me know know what you think.
Thank you,
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If several pairs are repeated, then you should adapt the analysis to reflect that.
If you were convinced that repetition didn't change the outcome, then averaging the scores would be one approach. However, if you thought that repeated exposure to the same treatment protocols (for the same case) did affect the scores, then your choices could include: (a) using only cases having all repetitions, and apply a doubly repeated measures analysis; (b) dropping instances of duplicated cases having a 2nd, 3rd, etc., exposure to the treatment protocols from your analysis; or (c) going back and exposing all the single-exposed cases (with just one x-y experience) to additional exposures of methods x and y, then using method (a).
Good luck with your work.
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Do biometric technologies violate an individual’s right to privacy?
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I need a topic for the my Mphil thesis on Cyber security and crime Thesis or information security. Kindly assist with possible topic and objectives?
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We are going to buy an EMG system in our lab. we are in doubt between Biometrics EMG system and Bioelettronica EMG system. I will be grateful if any one share her/his experience with these systems.
Best Regards.
David.
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Dear @Carolina Vila-Chã,
I am so grateful for your useful information.
Best wishes.
Dave.
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many kinds of biometrics is found, for detemine which kind can be used to help with monitor asuspect one
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Hi Raghad,
Bio-metrics is a fundamental verification mechanism that identifies individuals on the basis of their physiological and behavioral features. These bio-metric expansions are easily observable in different forensic identification areas, e.g. face, fingerprint, iris, voice, handwriting, etc. The effectiveness of bio-metrics system lies in different recognition processes which include feature extraction, feature robustness and feature matching. The emergence of forensic bio-metrics covers a wide range of applications for physical and cyber-crime detection.
Multi-modal bio-metrics allows the integration of two or more than two bio-metric recognition and verification systems in order to enhance performance requirements of identification. These systems are more reliable due to the presence of multiple bio-metric evidences. A multi-modal system could be a combination of fingerprint verification, face recognition, voice verification and smart-card or any other combination of bio-metrics. This enhanced structure takes advantage of the proficiency of each individual bio-metric and can be used to overcome some of the limitations of a single bio-metric.
Terrorists, smugglers and illegal immigrants gain access in crossing international border by faking their fingers and faces in case of single bio-metric trait. Therefore, a number of countries like Hong Kong, USA, Japan and Australia are to deploy multi-modal bio-metric border control system that incorporate airline check in with immigration check out.
Refer the following Link:
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For biometric applications.
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Please have a look in the following link:
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How to plot genuine and imposter score distribution in biometrics?
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This is my problem:
I have a database with face images of various individuals. Each individual have approximately 100 images. In order to recognize some individual by an input image, it's not necessary all 100 images. So, mi team develop a method to select the 5 images that bring better results in future face recognition (not necessarily the 5 images with best quality), in order to reduce the database.
I need papers that talk about methods like this.
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Hi everybody,
I am currently trying to get some means in R.
I have two variables (annual range and annual mean) of sea surface temperature (SST) for 10 years. I would like to obtain the mean of these two variables for 5ºx5º grid cells worldwide.
All the values are associated with certain values of latitude and longitude, but I do not know how to calculate the aforementioned means. I know some packages and scripts that are useful but I have to specify the values of latitude and longitude step by step, and this take too much time.
Thank you in advance
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@ Diego Cepeda,
It is to be made clear on whether you want to calculate the mean of each of the two variables of the mean of the two variables.
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i want to know is there any new technology in biometric to prevent blackhole attack in manet... what modifications can be done in fingerprint recognition
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dear mrs
you can use iris recognition for authentication In addition to fingerprint recognition
best wishes
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I am attempting to develop a differential convolution matrix for biometric detection and identification.
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Thanks
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Bio metric Database security
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http://citeseerx.ist.psu.edu/viewdoc/download doi=10.1.1.459.5822&rep=rep1&type=pdf
In this paper you will get the information about Cryptographic Protection of Biometric Templates.
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We are a group of teachers interested in collecting bio-metric data such as heart rate and blood pressure while students are performing different academic tasks in various formats. We are aware of devices such as AppleWatch and FitBit that will collect this information individually, but we need to collect the data as an admin in one database, rather than having to collect from 20+ individual accounts.
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Trying to learn data mining and machine learning I have some basic questions concerning how to best organize an ARFF file.
My data consists of time series of biometric data (facial expressions, skin conductance, eye tracking) for 15 persons during eight different tasks. Each task is graded as a pass, struggle or fail. The task completion is the attribute I want to try to predict.
What is the best way to build such a file? E.g. if the first person passes the first task, should all the time stamps in the biometric series be coded as a pass? Or is there a smarter way to do this?
Highly appreciate all comments!
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Store the data in excel file...Then save as....other formats..u will find the .csv format..then u store it in weka data folder..and directly rename as .arff..it works..
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As all of my knowledge it's difficult to get Polarimetric-Thermal Face Images Database (If anyone knows a public one mention please).
So, how can I use (Enhancement or Alg) to get the nearest facial texture of a polarimetric one?
Thanks in advance
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Thanks a lot for your help..
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We are looking for a platform to integrate different biometric measurements like GSR, eye tracking etc. We want to use these techniques for consumer and brand research. One potential system is the iMotion platform. Any experiences with this system? Do you know high-ranked journal articles (in marketing, consumer behavior, brand management) with the use of this system?
Thanks in advance!
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I have some experiences with Biosignalsplux - I encourage you to try their equipment - it's cheap and realiable for most applications.
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In order to achieve two functions graph (DF1, DF2) for biometric sheet, this script has been used:
_________________________________________________________________
># run the discriminant analysis
>discrminantTest <- desDA(tableM[,3:30],tableM$species)
>#see the discriminant power of the variables
>discrminantTest$power
>#make new columns on tableM with the scores of each specimen on the first and second discrminant functions
>tableM$DF1 <- discrminantTest$scores[,1]
>tableM$DF2 <- discrminantTest$scores[,2]
># to only keep the columns you need
>tableM <- tableM %>% select(collection.number:XXX)
_________________________________________________________________
The triple "X" is my latest biometric trait which after that I received this error:
>Error in is_character(x, encoding = encoding, n = 1) :
object 'collection.number' not found
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I don't see why it would throw an error (technical error) when only using two subspecies or grouping your current subspecies into two groups (I'm not sure what these new "species" groups would represent, biologically speaking). If you just wanted to focus on two of the subspecies, just subset your data (see link below). If you want to put your current subspecies into two groups, just create a new variable. E.g.,
tableM$newSpecies <- ifelse(tableM$species == "P.l.a" |
tableM$species == "P.l.d",
"P.l.ONE", "P.l.TWO")
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i'm now doing a project about finger print Biometric .
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Cancellable Biometrics is a Biometric template which can be replace whenever is needed. similar to your password which you can change it anytime you want.
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I need a database that contains DNA sequence as well as biometric data for the same cohort.
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Read the paper carefully
Personal identification with biometric and genetic methods
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What is a matching score, how is it related to finding of FAR and FRR rate?
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I know the question is pretty old and Marco gave a very good explanation but for those who have similar questions. Here is a pic illustrating how the FRR and FAR are caculated. As the threshold moves from large to small, the FAR changes from 0 to 1 while FRR from 1 to 0, resulting in an inverse-like function.
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Suppose that three subjects lets say A1, B1, and C1 belong to class 1 and A2 B2, and C2 belongs to class 2.
Then, feature extraction is applied on all A1 A2 B1 B2 C1 C2 to extract their features.
Now, I would like to know that should I model all features of class 1 together as a whole model or should I make a model for A1, make a model for B1, and make model for C1 and so on?
If a new subjects lets say D1 is missed in previous step, which approaches are better?
How about modelling time?
How about testing time?
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Hi Mohammad,
In general, the model has to be formed from the whole features of all your instances. Precisely, in your case, one model has to be built from the features of your instances (A1, B1, and C1) to predict A2, B2, and C2, respectively.
The model that is generated from the features of A1, B1, and C1 is going to be applied on the new instance D1.
The performance of the model is the most important factor to worry about. What's the benefit of having fast prediction model with low performance?
HTH.
Samer, PHD.
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Iam searching about data-set irises images of any chronic diseased persons to use it in the iridology field ,,any one can help me??
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study shows that their is no correlation of Iris abnormal pattern consistency with cancer disease. ref(http://edzardernst.com/2013/06/iridology-if-evidence-is-systematically-ignored-lives-are-put-at-risk/ )
you can get data-sets from the authors of already published paper.
one is in german
Recently did not find anyone working on this domain.
Best way to get related datasets is to initially find some survey papers related to that their might be links to related datasets
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Biometric Template
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Can you provide more context? As there can be finger-print included in the card.
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Dear all,
we are already starting a research on the use of eye tracking and biometric measurement systems in industrial engineering with a special focus on (i) design and (ii) manufacturing/assembly. The hypothesis for (ii) is, that the use of eye tracking systems gives us inputs and data to evaluate the user-friendliness of an assembly workplace in order to optimize it. In addition to an increase of productivity also a reduction of quality problems is expected.
If you have literature or experience on the application of such technologies in the shopfloor please let me know.
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Also try V. Raudonis. Development and Investigation of Portable Eye Tracking System: theory and practice. LAP LAMBERT Academic Publishing
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Hi everyone, 
As we know ROC curve is used to show the possible tradeoffs between the false accept rate and false reject rate when we have a global threshold set for all users. However, in some biometric recognition systems it has been shown that user specific threshold improves the overall performance of the system. Now, my question is how can I present the tradeoffs between the FAR and FRR when I have user specific threshold as there will be separate ROC curve for each user.
Thanks in advance.
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Rajesh,
Maybe not the best way, but I usually plot the ROC curve with confidence bands derived via bootstrap sampling (or some other sampling method). This requires fixing one error type (I usually fix the FAR), interpolating the other error for each user, then sampling across users. Basically:
  1. Choose a set of FAR points, e.g., 0, 0.001, 0.002, ..., 1
  2. For each user, interpolate the FRR at each FAR point. The idea is that we want to have N FRR points from which to sample at each FAR value, for N users.
  3. At each FAR point, derive a confidence interval for the FRR by bootstrap sampling.
  4. Plot the mean FRR +/- desired CI as a function of FAR.
I think this gives a rough estimate of variability in performance across users. You'll end up with a graph that looks like this:
For example, see code here:
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Security and Privacy of Bio-Metric Technology
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compromising or guessing user credential
injection of commands (man in the middle)
security policy violation
session hijacking
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Hi scholars, I am planning to employ neural networks for score-level multimodal biometric fusion. Any suggestions?
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Although biometric technologies offer a high level of authentication for individuals by identifying them on the basis of their behavioral and physiological characteristics, there are many issues with the technology.
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Privacy and Security  of Biometric Technology
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For which country? In the United States we typically take vital documents (birth certificates, marriage documents, etc.) to a representative who bundles them for the Department of State. After processing, the documents are returned via postal mail. After a few weeks, the passport documents also arrive by mail.
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Privacy and Security of Biometric technology
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Thank You Great
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 I am currently using this software http://vigienature.mnhn.fr/sites/vigienature.mnhn.fr/files/uploads/SCAN%27R%20Manual%20V1p60.pdf or I can use some other software?
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I am trying to compare the count of stress calls, or determine the difference in amplitude (if any) in psychotic animals  to the control group.
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Dear good friends,
Can I find a laboratory that wishes to work on the ecology of the Tindouf argan tree that is in the wild state, while we have a lot of data in need to deal with the specialties;
In this respect, we are looking for a letter of welcome to carry out a short training course.
So, we are researching: dendrometry, Seedling propagation In the arid zones and vegetative propagation, seed's diversity and biometrics.
Best regards.
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Good day, colleagues!
Really interesting to prove some methods with fuzzy extractors and need some data for the evaluation. Does anyone knows datasets to be used with this matter? Thank you.
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Gait recognition generally refers to identifying a person by means of their gait. The system would map the test gait sequence to one of the identities in the gallery, i.e., trained gait instances. This assumes that all members of the test set belong to that in the gallery set. So even when the gait instance of an unknown intruder is given, it would be mapped to one among the gallery identities.  The outcome of a recognition task is an identity that is trained in the system. Its performance is given by its correct classification rate (CCR).
Gait authentication differs from this aspect that it would be able to reject (to a degree) unknown gait instances. The outcome of authentication is either accept or reject depending on the gait instance and the identity the person claims to be. Its performance is measured by false acceptance rate (FAR), false rejection rate (FRR), equal error rate (EER) and average error rate (AER).
Most of the recent literature focus on gait recognition and gait authentication papers are hard to find.
Could anyone provide a list of gait authentication papers, preferably with results evaluated with CASIA Dataset B?
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Dear Mouad Ali,
Thank you for the papers. All three of which are on gait recognition and not related to gait authentication. Nevertheless, they are published recently and is of good use for my research literature.
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Which are the best view-invariant gait algorithms published till date? This is with respect to view-invariance and resilience to covariate factors like carrying condition and clothing condition; preferably one that uses CASIA Dataset B.
The following are the papers that are recently published which I think includes the state of the art but is there any other publication that outperforms these values?
Author                Normal    Bag     Coat    Mean
Dupuis et al.         97.11  75.16    84.49   85.59
Choudhury et al.  99.55   87.09   69.09   85.24
Rida et al.             97.39   75.08   86.28   86.25
The above are the averages taken from all 11 angles of the CASIA-B.
References:
Y. Dupuis, X. Savatier, and P. Vasseur, “Feature subset selection applied to model-free gait recognition,” Image and vision computing, vol. 31, no. 8, pp. 580–591, 2013.
S.D. Choudhury and T. Tjahjadi, “Robust view-invariant multiscale gait recognition,” Pattern Recognition, vol. 48, no. 3, pp. 798–811, 2015.
I. Rida, X. Jiang, and G. L. Marcialis, “Human body part selection by group lasso of motion for model-free gait recognition,” IEEE Signal Processing Letters, vol. 23, no. 1, pp. 154–158, 2016.
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Dear Dr. Ramachandra and Mr. Romero,
Thank you for posting but I'm looking for articles published with results related to gait recognition using the CASIA-B dataset.
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IRIS segmentation latest research papers
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Different feature extraction algorithms are available but i cant understand what is the basic concept to classify female and male from iris. 
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Facial analysis is the best way available.
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Human  Bio metric identification can done on multiple basis including