Iris recognition algorithm combining wavelet transform and Log-Gabor filter

Abstract

An algorithm combining wavelet transform and Log-Gabor filter was presented for iris recognition. The low frequency sub-image of the wavelet transform contains the primary information of the iris,and the Log-Gabor filter can effectively extract the iris texture information. The combination of these two approaches is an effective way to extract iris texture. This algorithm firstly decomposed the normalized image by the wavelet transform,then the low frequency sub-image was filtered by Log-Gabor to generate the iris code,finally Hamming distance was used to classify the iris images. The experimental results show the algorithm is superior in terms of recognition rate and equal error rate.