Title :
Comparison of iris recognition algorithms
Author :
Vatsa, Mayank ; Singh, Richa ; Gupta, P.
Author_Institution :
Dept. of Comput. Sci. & Eng., IIT, Kanpur, India
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;
Conference_Titel :
Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on
Print_ISBN :
0-7803-8243-9
DOI :
10.1109/ICISIP.2004.1287682
