DocumentCode
3007291
Title
M-band wavelets application to palmprint recognition based on texture features
Author
Dai, Qingyun ; Bi, Ning ; Huang, Daren ; Zhang, Dvaid ; Li, Feng
Author_Institution
Dept. of Sci. Comput. & Comput. Application, Sun Yat-Sen Univ., Guangzhou, China
Volume
2
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
893
Abstract
In this paper, a new texture feature set based on M-band wavelet analysis is proposed for online palmprint identification. First, the central part of a palm was decomposed by M-band wavelets transformation, then, l-norm energy was extracted out as our features, at last, the candidate was found by matching process. The presented experimental results demonstrate the validity of our approach.
Keywords
feature extraction; fingerprint identification; image matching; image recognition; image texture; wavelet transforms; M-band wavelet analysis; l-norm energy extraction; matching process; online palmprint identification; palmprint recognition; texture feature; Application software; Biometrics; Bismuth; Energy resolution; Image texture analysis; Shape measurement; Signal resolution; Spatial resolution; Sun; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1419443
Filename
1419443
Link To Document