DocumentCode :
2460229
Title :
Palmprint texture analysis based on low-resolution images for personal authentication
Author :
Kong, Wai Kin ; Zhang, David
Author_Institution :
Biometrics Res. Centre, Hong Kong Polytech. Univ., Kowloon, China
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
807
Abstract :
Biometrics identification is an emerging solution for solving security problems in our networked society. A new branch of biometric approach -palmprint technology, whereby the lines and points can be extracted from our palm for personal authentication- was proposed several years ago. In this paper, we develop a new feature extraction method based on low-resolution palmprint images. A 2-D Gabor filter is used to obtain the texture information and two palmprint images are compared in term of their hamming distance. The experimental results illustrate the effectiveness of our method.
Keywords :
authorisation; biometrics (access control); feature extraction; Gabor filter; biometrics identification; hamming distance; low-resolution images; palmprint texture analysis; personal authentication; security problems; Authentication; Biometrics; Computer networks; Data mining; Feature extraction; Filters; Image analysis; Image databases; Image texture analysis; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048142
Filename :
1048142
Link To Document :
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