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.