DocumentCode
1868556
Title
Iris location based on maximum probability
Author
Chen, Chong ; Zhang, Yongliang ; Li, Yuanhong ; Yao, Xiaomin ; Zhou, Bing
Author_Institution
College of Computer Science and Technology, Zhejiang University of Technology, China 310032
fYear
2012
fDate
3-5 March 2012
Firstpage
1272
Lastpage
1275
Abstract
With the development of society, personal identification becomes more and more significant. As we know, there are many disadvantages of the traditional identification. So lots of biometrics arise. As one of biometrics, iris recognition is of great importance nowadays with its higher accuracy and stability. Here, the main steps of iris recognition are introduced, including pre-processing of image, iris location, iris normalization, feature extraction and pattern recognition. Our work focuses on pre-processing and a new accurate and rapid method of iris location is proposed. The validity of this method is verified by our experimental results.
Keywords
fourier transform; iris location; iris recognition; maximum probability;
fLanguage
English
Publisher
iet
Conference_Titel
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location
Xiamen
Electronic_ISBN
978-1-84919-537-9
Type
conf
DOI
10.1049/cp.2012.1211
Filename
6492818
Link To Document