DocumentCode :
3422906
Title :
A novel Iris recognition method based on the Contourlet Transform and Biomimetic Pattern Recognition Algorithm
Author :
Zhai, Yikui ; Gan, Junying ; Zeng, Junying ; Xu, Ying
Author_Institution :
Sch. of Electr. & Inf. Eng., Beihang Univ., Beijing, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1390
Lastpage :
1393
Abstract :
Iris recognition has been a hot research topic in these years. In this paper, an iris recognition method based on the the Contourlet Transform (CT) and Biomimetic Pattern Recognition (BPR) has been proposed. In proposed method, the Contourlet Transform was used to extract the significant features of the preprocessed iris image, and the Biomimetic Pattern Recognition algorithm was used to construct the high-dimensional covering hypersurface in order to recognize the iris images. Experiments on the CASIA iris image database show that the proposed iris recognition method based on the CT and BPR can achieve promising results compared with other methods.
Keywords :
feature extraction; iris recognition; transforms; visual databases; CASIA iris image database; biomimetic pattern recognition algorithm; contourlet transform; feature extraction; iris image; iris recognition method; Business process re-engineering; Computed tomography; Feature extraction; Iris recognition; Neurons; Pattern recognition; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5656909
Filename :
5656909
Link To Document :
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