DocumentCode :
3066305
Title :
Biometric Verification by Fusing Hand Geometry and Palmprint
Author :
Chen, Wen-Shiung ; Chiang, Yao-Shan ; Chiu, Yen-Hsun
Author_Institution :
Nat. Chi Nan Univ., Puli
Volume :
2
fYear :
2007
fDate :
26-28 Nov. 2007
Firstpage :
403
Lastpage :
406
Abstract :
This paper presents a biometric recognition system with fusion of hand geometry and palmprint of a human hand based on wavelet transform and statistical moments. The feature extraction module adopts the gradient direction (i.e., angle) and quadratic spline function of wavelet transform as the discriminating texture features in palmprint, and the statistical moments calculated from hand geometry. The system generates the palmprint feature codes using a binary gray encoding. The recognition rates up to 94.17%, 95.50%, 96.67%, and 98.33%, respectively, using different feature extraction methods may be achieved.
Keywords :
Gray codes; binary codes; biometrics (access control); computational geometry; feature extraction; gradient methods; image coding; image fusion; image texture; splines (mathematics); statistical analysis; wavelet transforms; binary gray encoding; biometric recognition system; biometric verification; feature extraction; gradient direction; hand geometry fusion; palmprint fusion; quadratic spline function; statistical moment; texture feature discrimination; wavelet transform; Authentication; Biometrics; Digital cameras; Feature extraction; Geometry; Humans; Image coding; Image segmentation; Shape; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-2994-1
Type :
conf
DOI :
10.1109/IIHMSP.2007.4457734
Filename :
4457734
Link To Document :
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