Dr R SenthilkumarInstitute of Road and Transport Technology (IRTT) | IRTT · Department of Electronics & Communication Engineering
Dr R Senthilkumar
Doctor of Philosophy
About
89
Publications
150,399
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146
Citations
Citations since 2017
Introduction
I have totally 18 years of teaching experience. Out of which 2 years in Dr.Navalar Nedunchezian College of Engineering, Cuddalore District and 3 years in V.L.B.Janakiammal College of Engineering and Technology, Coimbatore. Presently I am working as an Assistant Professor in Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu, India, since 2006.
My websites : https://rsenthilirtt.blogspot.com,
http://www.geocities.ws/senthilirtt/Dr.R.Senthilkumar_ECE_IRTT.
ORCiD id :https://orcid.org/0000-0001-6163-8137.
Scopus page :https://www.scopus.com/authid/detail.uri?authorId=56151998400.
Google scholar :https://scholar.google.co.in/citations?user=lik6XJ0AAAAJ&hl=en.
Additional affiliations
May 2006 - December 2015
April 2003 - May 2006
August 1999 - July 2001
Dr.Navalar Nedunchezian College of Engineering
Position
- Lecturer
Education
August 2001 - February 2003
August 1995 - April 1999
Publications
Publications (89)
In this paper, we describe a new approach in face recognition by which the recognition accuracy can be increased substantially. In our approach a detail correlation study has been made on standard database such as Yale face database. Based on correlation coefficient, face images of individuals are duplicated in train set or test set or in both cate...
In this project, two datasets name fruit dataset and vegetable dataset are collected. The collected datasets are trained and tested with deep learning neural network named Convolutional Neural Networks(CNN). First, the fruit dataset is trained and then tested with CNN. It has 6 classes and all the classes are trained and tested. Second, the vegetab...
Automated Machine Learning algorithms - short description
Digital Image Processing fundamentals using Matlab
Data Science and Machine Learning using python
Analog and Digital Communication using Open Source Software Scilab
The image classification and recognition techniques are used in present day practical applications such as face recognition, finger print recognition, iris recognition and character, number plate recognition etc. The machine learning techniques such as SVM (Support Vector Machine) classifier, KNN (K-Nearest Neighbour) classifier and linear regressi...
Blindness has been a great issue over this decade. In the 37 million of blind people across the world over 15 million are from India. Due to the lack of ophthalmologists many blindly differently abled genres are unable to get remedy as soon as possible. So our project's main motive is to provide an alternative way to safeguard them from hazards lik...
Implementation of signal processing algorithms like:
1. Convolution
2. Correlation
3. Discrete Fourier Transform
4. FIR Filtering
5. IIR Filtering
6. Power Spectrum Estimation
Basic image processing and video processing laboratory practices using Python and OpenCV
Road and Transport Technology, Erode, for furnishing every essential facility for doing this project. We sincerely thank our guide Dr. R. SENTHIL KUMAR M.E., Ph.D., Assistant Professor, Department of Electronics and Communication Engineering, Institute of Road and Transport Technology, Erode, for his valuable help and guidance throughout the projec...
Methodology: For creating this health infrastructure map data of health centre for COVID-19 is taken from the National Information centre and Bhuvan websites. Thus the district wise number of COVID hospitals in TamilNadu are taken from tn.data.gov.in. Steps followed in the QGIS software are given below. Initially the district wise boundary map of I...
This paper mainly focuses on improving the recognition rate and reducing the recognition time in facial image recognition application. The existing methods are based on statistical or neural network or fuzzy-based feature extraction. In this study, the feature extraction followed by classification method is carried out based on documentation-based...
The drinking and human usage fresh water are contaminated and polluted by wastages released from dyeing and other industries. The classification of highly contaminated, mildly contaminated, lightly contaminated and recycled water is important for different level of water purification. The aim of this project is to develop an Internet of Things base...
Video tutorial links related to IOT, Rasperry pi, Image processing, Signal processing, Machine Learning
This poster or presentation contains youtube video lectures related Python programming for digital signal processin, analog and digital signal processing, digital image processing & Rasperry pi kit python programming and in Pydroid3 mobile phone.
Links:
1. Machine Learning for Image classification using IOT device & Rasperry pi
https://www.youtube...
Python for Data Science Engineers
An workshop will be organized by ECE department of IRTT in the February month 2020. Those who want to participate in this workshop and another workshop related to Python for Data Science, contact me through my mail id: senthilkumar@irttech.ac.in
Digital Signal Processing algorithm implementation and filter design using Python
An workshop will be organized by ECE Department of Institute of Road and Transport Technology, Erode
This literature work suggests a novel approach for rearranging train set developed by us. The rearrangement of train set is based on cross-correlation study of facial images of individual subjects. The new approach, tried five factual human face acknowledgment techniques with standard and Senthilkumar, face databases. Further, the stability of our...
Most simple nonlinear thresholding rules for wavelet- based denoising assume that the wavelet coefficients are independent. However, wavelet coefficients of natural images have significant dependencies. This paper attempts to give a recipe for selecting one of the popular image-denoising algorithms based on VisuShrink, SureShrink, OracleShrink, Bay...
In traditional appearance based face recognition approaches, the facial images in standard face databases are used as it is for testing standard statistical face recognition algorithms. Due to the camera angle, position and lightening conditions, the facial image captured contains occlusion. Human pose, facial expressions and alignment of face with...
Image processing tutorials related to image resize, file format conversion, wavelet decomposition, reconstruction of decomposed images, image enhancement etc using Matlab Software
Key features:
More than 100 solved examples are given
Important analog and digital modulation techniques Scilab coded
Discusses about analog modulation techniques
Constellation diagram of BPSK,8-PSK, 16-PSK, QAM
Spread spectrum modulation with Scilab software programs
Data communication
Satellite communication basics
Source coding
Error co...
Key Features:
More than 300 solved problems
Scilab software programs included at end of each chapter
Multiple choice questions included
One Mark questions included apart from 2 Marks questions
Signals and Systems all the related contents are included in 12 chapters
Difference equations and Differential equations are separately discussed
Cont...
Digital Image Processing using MATLAB software - Part 1
MATLAB R2013 32 bit windows OS
This book is designed to cater to the needs of the First year UG engineering students of various universities in India. The author has included all the features that enables the students to understand the concepts with adequate examples and exercises.
Key Features:
More than 300 solved examples
More than 100 problems with answer key
Multiple choice...
Earthquakes occur below the surface of the Earth surface. But major earthquakes are less common. Here is an idea that incorporates a bed system that guard people during an earthquake. In this paper work, an inexpensive low cost microcontroller based earthquakes sensing embedded system designed and implemented. A Global system for Mobile communicati...
This book is designed to cater to the needs of the First year UG engineering students of various universities in India. The author has included all the features that enables the students to understand the concepts with adequate examples and exercises.
Key Features:
More than 300 solved examples
More than 100 problems with answer key
Multiple choice...
IIR Digital Butterworth Filter design. Complete Matlab coded. Step by Step approach.
IIR Digital Filter Design. Matlab simulated results. Frequency Response comparison.
Digital FIR Filter design. Windowing techniques. Frequency response of different FIR filters are compared. Selection of FIR filters are discussed.
The proposed work is focused on automatic speed control of vehicles by detecting the accident prone zone. In this work we are using RF for indicating the speed limit areas. The RF receiver is placed inside the vehicle. The speed is calculated by the help of vehicle speedometer in the vehicle. The controller compares the speed with standard speed li...
Signal processing basics tutorials using Scilab
Speech Processing Tutorials using Scilab
Reference Book: Digital Signal Processing and Its Applications with Scilab Programs by R.Senthilkumar, Gauruda Learning
This tutorial describes what are the libraries needed for DIP using Python and fundamental basic programming level 1
This video lecture part 1 is about computer networks fundamentals.
This video lecture is about the computer networks fundamentals
The main aim of this project is to get information about the irregularities in the bridges and thereby providing information about what are the damages it will cause in the near future. This information is useful in saving human lives and vehicles travelling along the bridges.
This tutorial solves the problem in the installation of Image Processing Design Toolbox Atom for Open source software Scilab
This presentation explains the usage OCTAVE open source software in Signal Processing, Analog and Digital Communication and Digital Image Processing
This tutorial explains the step by step procedure to innterface LabVIEW with Scilab open source software
Digital Signal Processing Programming using Scilab
Digital Image Processing Programming using Scilab
In this paper, we proposed a novel hybrid approach for face recognition by which the facial images are classified and clustered accurately. In this hybrid face recognition approach, the statistical measure correlation, statistical appearance based face recognition approach two-dimensional principal component analysis (2DPCA), and back propagation n...
construction of own face and video face databases
Abstract: Tools, strategies and techniques are given for calculating face recognition rate of different individuals to protect the individuals, consumers, enterprises and institutions from fraud and cybercrimes by combining correlation statistics with wavelet transform. The risks and problems associated with various entities are analyzed and classi...
The book Research Methodology written by R.Paneerselvam. This book is main text book for all the research scholars. The solved examples in the entire book are coded by open source software Scilab.
The feature extraction is done using texture based Haralick feature extraction method and facial image classification is achieved by using modified ANFIS classifier. This method is simply called as HANFIS.
The purpose of this paperwork is to improve the recognition rate and reducing the recognition time required for face recognition application. The method involved in this work is, feature extraction is done using texture based Haralick feature extraction method and facial image classification is achieved by using modified ANFIS classifier. This meth...
This paper discusses two important works. First work deals with extraction of key features from standard face databases. The data mined from the face databases consist of information related to number of facial images, male and female, different facial expressions, different poses, illumination conditions, facial image file format, synthetic faces,...
Facial Image Database Mining and Classification Analysis using Different Distance Metrics
This paper compares the performance improvement in recognition rate of different face recognition methods. The face recognition methods such as 1dPCA, 2dPCA, KPCA, ICA and FDA usually use Euclidean distance and in some cases they use the cosine similarity function. Instead of traditional classification and distance measurement methods, SVM classifi...
This paper discusses the development of Face Recognition Toolbox(FRT) using open source software Scilab. This paper work further analysis the problems and errors arise in the development of FRT using Scilab software. Our first work is to give the solutions to those problems and errors arise in the development of FRT.The second work is to develop ne...
This paper work compares the performance of different statistical measures on different face databases. The important 11 face databases are tested with statistical measures. The one dimensional (1D) statistical measures used in this paper are: mean, mode, median, sample standard deviation, variance, skewness and kurtosis. The two dimensional (2D) s...
Performance Analysis of 1D and 2D Statistical Measures on Standard Facial Image Databases
The entire coded with Scilab open source software
Five face recognition algorithms are coded with open source scilab
In this paper, two-dimensional principal component analysis (2D PCA) is compared with other algorithms like 1D PCA, Fisher discriminant analysis (FDA), independent component analysis (ICA) and Kernel PCA (KPCA) which are used for image representation and face recognition. As opposed to PCA, 2D PCA is based on 2D image matrices rather than 1D vector...
This p a p er describes in detail about 2D and 3D face and video face databases develo p ed in the year from 1992 to 2009. The still face database discussed here includes: Our Laboratory Database of Faces (ORL), Yale face database, Yale face databaseB(B stands for Big), Yale face database extendedB, FERET(Face Recognition Technology) face database...
This paper describes in detail about important 2D and 3D face and video face databases. The face and video face databases discussed here includes: Indian Institute of Technology Kanpur (IIT-K) database, Makeup dataset, University of North Carolina Wilmington Craniofacial Morphology (MORPH) non-commercial face database, Surveillance face (SCface) da...
This presentation explain the procedure how to convert Matlab program to Scilab program
PERFORMANCE IMPROVEMENT IN IMAGE DENOISING USING DUAL-TREE COMPLEX WAVELET TRANSFORM FOR MULTISTAGE DECOMPOSITION OF NOSIY IMAGE
Most simple nonlinear thresholding rules for wavelet-based denoising assume that the wavelet coefficients are independent. However, wavelet coefficients of natural images have significant dependencies. This paper attempts to give a recipe for selecting one of the popular image denoising algorithms based on VisuShrink, SureShrink, OracleShrink, Baye...
Most simple nonlinear thresholding rules for wavelet-based denoising assume that the wavelet coefficients are independent. However, wavelet coefficients of natural images have significant dependencies. This paper attempts to give a recipe for selecting one of the popular image denoising algorithms based on VisuShrink, SureShrink, OracleShrink, Baye...
Improvement in the Peak Signal to Noise Ratio value by using Daubechies Wavelets for Image-Denoising Applications
The design of a wiener filter requires prior information about the statistics of the data to be processed. A straightforward approach that is used in such a situation is estimate and plug procedure. For real-time operation this procedure is excessively elaborate and the hardware is costly. To overcome this limitation adaptive filters are used. The...
SELECTION OF BETTER SHRINKAGE FUNCTION FOR IMAGE DENOISING AND OPTIMUM WINDOW SIZE FOR BIVARIATE SHRINKAGE WITH LOCAL VARIANCE ESTIMATION
This paper attempts to give a recipe for selecting one of the popular image-denoising algorithms based on VisuShrink, SureShrink, OracleShrink, BayesShrink and BiShrink. The first part of this paper compares different shrinkage functions used for image-denoising. The second part of the paper attempts to give the optimum window size for bivariate sh...
This paper attempts to give a recipe for selecting one of the popular image-denoising algorithms based on VisuShrink, SureShrink, OracleShrink, BayesShrink and BiShrink. The first part of this paper compares different shrinkage functions used for image-denoising. The second part of the paper compares different bivariate models and the third part of...
PERFORMANCE COMPARISON OF DIFFERENT BIVARIATE MODELS ON IMAGE DENOISING AND OPTIMUM WINDOW SIZE FOR LOCAL VARIANCE ESTIMATION
— Most simple nonlinear thresholding rules for wavelet- based denoising assume that the wavelet coefficients are independent. However, wavelet coefficients of natural images have significant dependencies. This paper attempts to give a recipe for selecting one of the popular image-denoising algorithms based on VisuShrink, SureShrink, OracleShrink, B...
Implementation of Acoustic Echo Canceller (AEC) using techniques such as critical sampling, subband coding, over sampling etc., have been studied by several authors. But the problems involved in AEC implementation has not been discussed by many. This paper discusses the problems that arise in AEC implementation such as Non availability of common fo...
Questions
Question (1)
Projects
Projects (9)
Our project involves the identification of persons
wearing face masks and not wearing face masks in public places by means of using image processing and AI techniques and sending alert messages to authority persons. The object detection algorithms are used for identifica-tion of persons with and without wearing face masks which also gives the count of persons wearing mask and not wearing face mask and Internet Of Things (IOT) is utilized for sending alert messages.