Iris Recognition Based On Principal Phase Congruency
Iris recognition has become one of the most promising biometric technologies because of excellent characters, such as uniqueness, stability, non-invasive and so on. In order to predigest the algorithm of feature extraction and improve the accuracy of iris recognition further, this paper proposes an iris recognition method based on principal phase congruency (PPC). Phase congruency is computed on different scales and orientations. Principal phase congruency can be developed from a fusion of the phase congruency by using principal component analysis. A fuzzy similarity measure is chosen as the matching function. Experimental results demonstrate that the proposed method is feasible and effective, and it has high recognition accuracy.
Iris recognition Principal Component Analysis Principal Phase Congruency Close-degree
Peiming Du Xiaoli Shi Ningning Wang Rongjun Deng
Electrical Engineering and Information School, Anhui University of Technology, Maanshan, Anhui, 243032, China
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1165-1168
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）