Palmprint Recognition For Personal Identification System

Palmprint is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this thesis, an automated scanner-based palmprint recognition system is proposed. The system automatically captures and aligns the palmprint images fo...

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Main Author:	Tee , Connie
Format:	Thesis
Published:	2004
Subjects:	HV Social pathology Social and public welfare Criminology
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id	my-mmu-ep.792
record_format	uketd_dc
spelling	my-mmu-ep.7922010-07-02T04:15:34Z Palmprint Recognition For Personal Identification System 2004-03 Tee , Connie HV Social pathology. Social and public welfare. Criminology Palmprint is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this thesis, an automated scanner-based palmprint recognition system is proposed. The system automatically captures and aligns the palmprint images for processing. The proposed palmprint recognition system consists of two important stages namely the enrollemnt and recognition components. In the enrollment stage, the palmprint images acquired are first aligned by the pre-processing step. After that, important palmprint features are extracted to generate matching templates to be stored in the database. In the verification stage, a new palam print image is also processed bt the pre-processing and feature extraction module, and then matched with the stored reference template to determine whether it belongs to a genuine template. 2004-03 Thesis http://shdl.mmu.edu.my/792/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	HV Social pathology Social and public welfare Criminology
spellingShingle	HV Social pathology Social and public welfare Criminology Tee , Connie Palmprint Recognition For Personal Identification System
description	Palmprint is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this thesis, an automated scanner-based palmprint recognition system is proposed. The system automatically captures and aligns the palmprint images for processing. The proposed palmprint recognition system consists of two important stages namely the enrollemnt and recognition components. In the enrollment stage, the palmprint images acquired are first aligned by the pre-processing step. After that, important palmprint features are extracted to generate matching templates to be stored in the database. In the verification stage, a new palam print image is also processed bt the pre-processing and feature extraction module, and then matched with the stored reference template to determine whether it belongs to a genuine template.
format	Thesis
qualification_level	Master's degree
author	Tee , Connie
author_facet	Tee , Connie
author_sort	Tee , Connie
title	Palmprint Recognition For Personal Identification System
title_short	Palmprint Recognition For Personal Identification System
title_full	Palmprint Recognition For Personal Identification System
title_fullStr	Palmprint Recognition For Personal Identification System
title_full_unstemmed	Palmprint Recognition For Personal Identification System
title_sort	palmprint recognition for personal identification system
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2004
_version_	1747829217490370560

Palmprint Recognition For Personal Identification System

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