Smart card based face recognition biometric system

Currently with improving of the technology of smart card especially in CPU and capacity of memory and also with developing many new algorithms for detecting Biometric parameters and making high-tech new appearing devices, many intensive research work is in progress. This thesis explains the smart-ca...

Full description

Saved in:

Bibliographic Details
Main Author:	Rezaei, Seyed Mohammad
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.36275
record_format	uketd_dc
spelling	my-utm-ep.362752017-08-20T06:45:44Z Smart card based face recognition biometric system 2010 Rezaei, Seyed Mohammad TK Electrical engineering. Electronics Nuclear engineering Currently with improving of the technology of smart card especially in CPU and capacity of memory and also with developing many new algorithms for detecting Biometric parameters and making high-tech new appearing devices, many intensive research work is in progress. This thesis explains the smart-card-based face verification and recognition system. The project starts with the selection of the client specific linear discriminant analysis (CS-LDA) algorithm. The CSLDA algorithm is developed in CAIRO in Universiti Technologi Malaysia. A smart card based face recognition and verification system is proposed in which the feature extraction and decision making is performed on the computer because of some limitation on the smart card. The verification and recognition will perform image processing technique which is captured from user will send to smart card and also save in the database. With using of the webcam one image captured from card holder and with using CSLDA algorithm, some different files come out from this algorithm. Two files will be send and store on the EEPROM of smart card and some other files with this two files save to the computer as well. The smart card which is selected for this project is one of the microprocessor smart card with 256 kb EEPROM memory and the card reader which is used for this work is standard card reader compatible with ISO smart card. With implementing this project and test the results, verification between the data which is written to smart card and the data which is read from smart card is ok, and also for recognition the user from the database with comparison between the ID of user which is given to him/her during the enrollment stage and all the users which is enrolled in the data base, the software can be detect that this user was enrolled or Not and after testing many times the result is ok. The accuracy of the CSLDA algorithm is not so high and for this reason the online verification is not so good. This implementation project has been performed on basis of Microsoft c# language and Microsoft SQL server. 2010 Thesis http://eprints.utm.my/id/eprint/36275/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Rezaei, Seyed Mohammad Smart card based face recognition biometric system
description	Currently with improving of the technology of smart card especially in CPU and capacity of memory and also with developing many new algorithms for detecting Biometric parameters and making high-tech new appearing devices, many intensive research work is in progress. This thesis explains the smart-card-based face verification and recognition system. The project starts with the selection of the client specific linear discriminant analysis (CS-LDA) algorithm. The CSLDA algorithm is developed in CAIRO in Universiti Technologi Malaysia. A smart card based face recognition and verification system is proposed in which the feature extraction and decision making is performed on the computer because of some limitation on the smart card. The verification and recognition will perform image processing technique which is captured from user will send to smart card and also save in the database. With using of the webcam one image captured from card holder and with using CSLDA algorithm, some different files come out from this algorithm. Two files will be send and store on the EEPROM of smart card and some other files with this two files save to the computer as well. The smart card which is selected for this project is one of the microprocessor smart card with 256 kb EEPROM memory and the card reader which is used for this work is standard card reader compatible with ISO smart card. With implementing this project and test the results, verification between the data which is written to smart card and the data which is read from smart card is ok, and also for recognition the user from the database with comparison between the ID of user which is given to him/her during the enrollment stage and all the users which is enrolled in the data base, the software can be detect that this user was enrolled or Not and after testing many times the result is ok. The accuracy of the CSLDA algorithm is not so high and for this reason the online verification is not so good. This implementation project has been performed on basis of Microsoft c# language and Microsoft SQL server.
format	Thesis
qualification_level	Master's degree
author	Rezaei, Seyed Mohammad
author_facet	Rezaei, Seyed Mohammad
author_sort	Rezaei, Seyed Mohammad
title	Smart card based face recognition biometric system
title_short	Smart card based face recognition biometric system
title_full	Smart card based face recognition biometric system
title_fullStr	Smart card based face recognition biometric system
title_full_unstemmed	Smart card based face recognition biometric system
title_sort	smart card based face recognition biometric system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747816422070812672

Smart card based face recognition biometric system

Similar Items