Iris Recognition algorithm based on Complex Geometrical Shape Cover

Abstract

In this my paper, we present a kind of Iris Recognition based on Complex Geometrical Shape Cover. From the cognition science point of view, we constructed a Complex Geometrical Shape for iris recognition. In this method, irises are trained as "cognition" one class by one class, and it doesn't influence the original recognition knowledge for samples of the new added class. The results of experiments show the correct rejection rate is 98.9%, the correct cognition rate and the error recognition rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the correct rejection rate of the test samples excluded in the classes of training samples is very high. It proves the proposed method for iris recognition is effective. © 2005 by International Federation for Information Processing.