Iris recognition using histogram analysis

Abstract

Iris recognition is perhaps the most accurate means of personnel identification due to the uniqueness of the patterns contained in each iris. Most commercial iris recognition systems use a patented algorithm based on two-dimensional Gabor wavelets developed by Daugman. This paper describes an alternate means to identify individuals using images of their iris. Here, we simplify the process by using preprocessed one-dimensional histograms. The methodology in forming these histograms, how they are used in enrollment and identification and performance in terms of false positives and false negatives are presented.