DocumentCode :
3481303
Title :
A Palmprint Recognition System using Correlation Filters
Author :
Othman, Nur Effendy ; Azid, A.A. ; Samad, Salina Abdul ; Hussain, Aini
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi
fYear :
2006
fDate :
27-28 June 2006
Firstpage :
91
Lastpage :
94
Abstract :
Biometric technology is becoming widely used in personal identification system substituting existing conventional methods such as password and passport. This paper presents a personal identification system based on one of the biometric technology which is palmprint recognition. An approach based on the application of unconstrained minimum average correlation energy (UMACE) filter is proposed for palmprint feature extraction and representation. We proposed an automated palmprint recognition system, using digital scanner as an image acquisition device. The experimental results demonstrate the feasibility of the proposed system.
Keywords :
biometrics (access control); feature extraction; image recognition; biometric technology; digital scanner; feature extraction; image acquisition device; palmprint recognition system; passport; password; personal identification system; unconstrained minimum average correlation energy filter; Biometrics; Feature extraction; Fingerprint recognition; Gabor filters; Image recognition; Iris; Research and development; Robustness; Skin; Systems engineering and theory; correlation filters; palmprint recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development, 2006. SCOReD 2006. 4th Student Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-0526-8
Electronic_ISBN :
978-1-4244-0527-5
Type :
conf
DOI :
10.1109/SCORED.2006.4339315
Filename :
4339315
Link To Document :
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