Study of Gabor feature selection for iris recognition
Shukui Bo · Computer Engineering and Applications Journal · 2012
In common,the instability of 2D-Gabor iris features decreases the recognition ratio of the iris.To settle the problem,this paper proposes an approach to select the secure features for iris recognition from multiple-scale 2D-Gabor features.The features of iris are extracted by multi-channel Gabor filtering on the iris images.Then the optimal feature parameters are selected by the screening rules defined and coded.And the feature matching is performed by using Hamming distance.Experimental results on the CASIA iris database images show that this approach enlarges Hamming distance between inter-class and intra-class,and at the same time the equal error rate(EER)is decreased.Besides,the length of code is reduced and speed of feature matching is improved.