Iris Recognition Based on Multichannel Gabor Filtering

Abstract

A new approach for personal identification based on iris recognition is presented in this paper. The body of this paper details the steps of iris recognition, including image preprocessing, feature extraction and classifier design. The proposed algorithm uses a bank of Gabor filters to capture both local and global iris characteristics to form a fixed length feature vector. Iris matching is based on the weighted Euclidean distance between the two corresponding iris vectors and is therefore very fast. Experimental results are reported to demonstrate the performance of the algorithm.