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