DocumentCode :
2337242
Title :
Iris recognition using independent component analysis
Author :
Wang, Yong ; Han, Jiu-qiang
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Volume :
7
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
4487
Abstract :
This paper develops a new method for iris recognition based on independent component analysis. The iris recognition consisted of three major components: image preprocessing, feature extraction and classification. A three-step multiscale approach was employed in image preprocessing to realize iris localization, normalization and enhancement. In iris feature extraction, an efficient approach called independent component analysis was used which was statistically independent to establish features for iris region of interest. Under the same experimental conditions, comparisons with the existing methods demonstrate that the proposed method has an emerging performance.
Keywords :
eye; feature extraction; image classification; image enhancement; independent component analysis; object recognition; image classification; image preprocessing; independent component analysis; iris enhancement; iris feature extraction; iris localization; iris normalization; iris recognition; Authentication; Biometrics; Counterfeiting; Dictionaries; Eyelids; Feature extraction; Fingerprint recognition; Independent component analysis; Iris recognition; Protection; Independent component cnalysis; classification; feature extraction; iris recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527729
Filename :
1527729
Link To Document :
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