International Journal of Biometrics Impact Factor & Information

Publisher: Inderscience

Current impact factor: 0.00

Impact Factor Rankings

Additional details

5-year impact 0.00
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
ISSN 1755-831X

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 6 months embargo
  • Conditions
    • Cannot archive until publication
    • Author's pre-print and Author's post-print on author's personal website, institutional repository or subject repository
    • Publisher copyright and source must be acknowledged
    • Must link to journal webpage and /or DOI
    • Publisher's version/PDF cannot be used, unless covered by funding agency rules
    • Authors covered by funding agency rules, may post the Publisher's Version/PDF in subject repositories after a 6 months embargo
    • Reviewed 10/02/2014
    • Author's post-print equates to Inderscience's Proof
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Off-line Signature Verification (SV) is performed using Particle Swarm Optimisation Neural Network (PSO NN) algorithm. The technique is based on NN approach trained with PSO algorithm. The presented verification system includes image-processing techniques and other mathematical tools in its structure. To test the performance of the proposed algorithm, three types of forgeries, namely random, unskilled and skilled, are examined. A database with 1350 skilled and genuine signatures taken from 25 volunteers is used for testing the algorithm. The experimental results are presented with comparisons on verification accuracy and statistical figures.
    International Journal of Biometrics 12/2011; 3(1):2-12. DOI:10.1504/IJBM.2011.037711
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    ABSTRACT: In this study, a method of determining the similarity of signatures based on detection of characteristic points was proposed. These points were determined with the use of the IPAN99 algorithm, which detects high curvature points on a contour. A set of such points was treated as characteristic points. Up to now, the IPAN99 algorithm has not been used for finding characteristic points in images of signatures. On the basis of the obtained set of characteristic points, the similarity of signatures was calculated with the use of the ERĀ². This study shows that reducing the number of points with the use of the IPAN99 algorithm allows obtaining a smaller error in signature recognition when compared with an analysis of all points.
    International Journal of Biometrics 06/2010; 2(3). DOI:10.1504/IJBM.2010.033390
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    ABSTRACT: We look for outliers in graphical data containing n = 6977 faces or non-faces images from Seung's collection. Our concern is: what kind of outliers may be found in such graphical data. To obtain the global geometrical characteristics, the Pseudo Grand Tour and Kohonens's self-organising maps are applied. We define as outliers those images which reproduce themselves badly from K principal components, with K denoting intrinsic dimension. The concept of mild and severe outliers, and own and alien principal components is also introduced.
    International Journal of Biometrics 06/2010; 2(3). DOI:10.1504/IJBM.2010.033392
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    ABSTRACT: In this paper, we propose an efficient and accurate technique to process iris biometric. Our approach handles degraded quality of eye images, occlusion of eyelids and eyelashes. Our approach considers non-circular pupil and iris boundary. With our approach it is possible to store an iris template with 304 bits only unlike 1024 bits used in majority of the existing approaches. Further, we assign different weights to different iris regions enabling us to compare two iris templates with a lesser number of features and thus achieving better accuracy. Experimental results on several iris databases establish the efficacy of our approach.
    International Journal of Biometrics 06/2010; 2(3). DOI:10.1504/IJBM.2010.033389
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    ABSTRACT: Although verification using traditional behavioural biometrics provides many advantages, this approach is often inaccurate owing to a lack of repeatability. We, therefore, propose a new method of biometric verification using one of the most repeated motions of the body: the bending motion of fingers. The proposed verification method combined both physical and behavioural biometrics in an attempt to differentiate individuals based on temporal continuity and static profiles. In the algorithm, curvature profiles (biological data) and finger joint angles (dynamic data) were calculated from the binary image edge pixels of the forefinger. In the comparison step, the biological data were compared only when the dynamic data of the probe data were consistent with the reference data. On the basis of our validation, we confirmed the repeatability of the bending motion of the finger, and demonstrated that our proposed method is sufficiently accurate for the initial validation of this biometric verification system.
    International Journal of Biometrics 06/2010; 2(3). DOI:10.1504/IJBM.2010.033387
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    ABSTRACT: The interface of computer technologies and biology is having a huge impact on society. Human recognition technology research projects promises new life to many security consulting firms and personal identification system manufacturers. The physiological or biological features of an individual, called biometrics, are unique to each human and remain unaltered during a person's lifetime and give a promising solution for security management. This paper presents an intelligent multimodal biometric verification system for physical access control, based on fusion of iris, face and fingerprint patterns. Feature vectors are created independently for query images and are then compared with the enrolled templates of each biometric trait to compute the matching score. The final decision is made by fusion at this matching score level. The proposed system is designed to suit embedded solutions for high security access in pervasive environments using biometric features.
    International Journal of Biometrics 06/2010; 2(3). DOI:10.1504/IJBM.2010.033391
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    ABSTRACT: An integrated psychophysiological study was made for investigating the impact of 'red colour' on bodily reaction induced by stress. With regard to the psychophysiological measures, we assayed salivary-secreted substances such as hormones and immune substance as introductory novel biometric. We compared with conventional physiological measures such as Heart Rate (HR), blood pressure and Skin Temperature (ST). As a result, some biomarkers depicted a marked difference between the red and the control conditions: in the red condition, observations showed a steeper elevation during the stressful task and a sparse recovery during the rest. The results suggest the possibility of the substance-based evaluation of the effect of colour on human physiological state.
    International Journal of Biometrics 02/2010; 2(2). DOI:10.1504/IJBM.2010.031796
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    ABSTRACT: The directional-dependent effects of the materials are responsible for our perception of certain materials being realistic or not. Some materials consist of colour pigments, and these cause directional-dependent colour variations (or colour-shifts). For instance, we can observe a colour-shift effect of metallic materials, which means the changing of colour from metallic colour to pigment colour depending on the direction of incident illumination and direction of view. The most common criticism of existing analytical Bidirectional Reflectance Distribution Function (BRDF) models is that these models are inadequate to generate colour-shift effect of materials for realistic real-time rendering. This paper introduces a visually plausible shading model to generate colour-shift effect of metallic materials by modifying specular component with illumination and view dependent sheen. The developed shaders haveintuitive parameters, which can generate different kinds of metallic effects for real-time rendering, including visually plausible gold, brass, silver, bronze and copper effects for real-time rendering.
    International Journal of Biometrics 02/2010; 2(2). DOI:10.1504/IJBM.2010.031797
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    ABSTRACT: In this study, referring to the previous studies have investigated inverted U-shape in psychological responses for musical tempo, we investigated: 1) change in 10 impressions for musical tempi; 2) effects of musical tempo near to listener's heart rate on the impressions. The subjects participated in seven sets of the listening experiments different from their musical tempo. Regression analysis and Friedman test were applied for the impression values. Inverted U-shapes were observed in most of the impressions. Furthermore, significant relationship between both of 'relaxation' and 'beauty' impressions and musical tempo nearest to each subject's heart rate were observed.
    International Journal of Biometrics 02/2010; 2(2). DOI:10.1504/IJBM.2010.031792
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    ABSTRACT: With a shift from 'product-out' to 'market-in' approach, the demands of today's consumer for high-quality goods and service have forced producers and service providers to apply quality-management practice throughout industry. The purpose of this paper is to explore how a company would maintain a competitive edge in a market by taking into account psychological and emotional needs of the consumers called 'Kansei' in Japanese. We explore how Kansei Engineering (KE) can be used along with New Just-In-Time (JIT), pioneered by Toyota, to gain a manufacturing cost advantage. The effects of our approach are demonstrated through a simulated experiment.
    International Journal of Biometrics 02/2010; 2(2). DOI:10.1504/IJBM.2010.031795
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    ABSTRACT: We develop a novel method applicable to classify the causes of crying infant based on pattern recognition of power spectrum of the cry. In our frame relied on F-value, it is available in power spectrum to order a statistical significance of frequency points which will contribute to the classification of cries. We verify performance of the method by taking the painful cries of infant with the genetic disease (ADEL). The result of our method achieves an excellent prediction. We also give a discussion on the relation between the set of frequency points extracted and the formants of cries.
    International Journal of Biometrics 02/2010; 2(2). DOI:10.1504/IJBM.2010.031791
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    ABSTRACT: Non-cooperative iris recognition system results in blurred and noisy images that can degrade the performance of the system. This paper proposes a novel feature extraction algorithm for non-cooperative environment. The proposed iris subdivision method reduces the effect of noise due to non-cooperative behaviour in an authentication system. Optimal projection analysis is proposed to obtain the rotation invariant features from the directional subband coefficients of the normalised image block. A fusion algorithm combines the matching scores from individual subimages to reduce the false rejection rate. The performance of the proposed method is compared with other algorithms on UBIRIS iris image database.
    International Journal of Biometrics 01/2010; 2(1). DOI:10.1504/IJBM.2010.030417
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    ABSTRACT: Nowadays a huge amount of data is gathered in the biometric area, e.g., sequences of DNA code, graphical images for recognition or authorisation of subjects, video monitoring, clinical trials or health care. Outliers are observations which are discordant with the model describing the data. The appearance of an outlier may be caused by a gross error; alternatively, an outlier (or a group of them) may represent observations which are caused by phenomena not accounted for in the assumed model. The paper shows a subjective survey of some methods serving for detection of outliers or anomalies in multivariate data. The methods are viewed from historical perspective.
    International Journal of Biometrics 01/2010; 2(1). DOI:10.1504/IJBM.2010.030413
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    ABSTRACT: For multimodal biometric person recognition, information fusion can be classified into several levels: rank, decision, sensor, feature and match-score levels. In this paper, a novel method is proposed to fuse information from two or more biometric sources at feature fusion level. A key aspect of the method is to use an optimisation procedure to regulate the contribution of each individual biometric modality to the concatenated feature vector. As an example, the effectiveness of the method is demonstrated by integrating features of static face images and text-independent speech segments. Experiments in feature-level fusion are carried out for 40 subjects from a virtual database consisting of face images and speech clips, and the results show that the proposed method outperforms those without feature fusion and those based on intuition feature fusion.
    International Journal of Biometrics 07/2009; 1(4). DOI:10.1504/IJBM.2009.027307