An Improved Iris Recognition Method Based on Gray Surface Matching

Abstract

A new method is proposed to overcome illumination intensity difference influences the recognition result which occurs during collecting session in this paper. The problem is not effective solved in original algorithm. This algorithm proposes to match after moving two matching feature surfaces to one equivalence gray plane. It also uses the theory of gray surface matching based on feature analysis but another distance is considered for reducing calculation quantity. Firstly, it calculates the gray difference of two pixels which comes from doing subtraction between two different surfaces and gets the gray difference surface. Secondly, it computes the square of the gray difference surface and considers this square as the distance between the two surfaces. At last, it compares the result with a given threshold to implement iris recognition. Simulation and experimental results are shown to illustrate this method performance for both correct recognition rate and the whole recognition time.