DocumentCode
2834607
Title
Comparison of iris recognition algorithms
Author
Vatsa, Mayank ; Singh, Richa ; Gupta, P.
Author_Institution
Dept. of Comput. Sci. & Eng., IIT, Kanpur, India
fYear
2004
fDate
2004
Firstpage
354
Lastpage
358
Abstract
In this paper, we have studied various well known algorithms for iris recognition. Four algorithms due to Sanchez-Avila et al. (2001), Li Ma et al. (2002), Tisse et al. (2002) and Daugman (2001) are implemented and compared on the CASIA iris image database. The results show that the Daugman´s algorithm gave the highest accuracy of 99.9%.
Keywords
biometrics (access control); eye; feature extraction; image recognition; visual databases; CASIA iris image database; Daugman´s algorithm; biometrics; feature extraction; human identification; image recognition; iris recognition algorithms; Authentication; Biometrics; Computer vision; Contracts; Cornea; Fingerprint recognition; Humans; Image databases; Iris recognition; Muscles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on
Print_ISBN
0-7803-8243-9
Type
conf
DOI
10.1109/ICISIP.2004.1287682
Filename
1287682
Link To Document