Title :
Biometric personal identification based on iris patterns
Author :
Zhu, Yong ; Tan, Tieniu ; Wang, Yunhong
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Abstract :
A new system for personal identification based on iris patterns is presented in this paper. It is composed of iris image acquisition, image preprocessing, feature extraction and classifier design. The algorithm for iris feature extraction is based on texture analysis using multichannel Gabor filtering and wavelet transform. Compared with existing methods, our method employs the rich 2D information of the iris and is translation, rotation, and scale invariant
Keywords :
biometrics (access control); eye; feature extraction; filtering theory; image classification; image texture; wavelet transforms; 2D information; biometric personal identification; classifier design; eye; feature extraction; image preprocessing; iris image acquisition; iris patterns; multichannel Gabor filtering; rotation invariant method; scale invariant method; texture analysis; translation invariant method; wavelet transform; Automation; Biometrics; Feature extraction; Fingerprint recognition; Image analysis; Image color analysis; Iris recognition; Laboratories; Lighting; Pattern recognition;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906197
