Iris recognition using histogram analysis
Robert W. Ives, A.J. Guidry, Delores M. Etter · 2005
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.