Incremental Learning Based Color Iris Recognition

In this paper, an incremental learning based color iris recognition method is proposed. The inner and outer boundaries of the iris are localized employing Canny edge detection method and Hough transform algorithm in the red channel and the blue channel respectively. This method exploits some fusion strategies to combine the matching scores between the test image and the templates of each class. The strategies used in this paper are Min, Max, Sum, Product and Weighted Sum. The experiments were carried out on UBIRIS v1.0. The experiments show that, in some scenarios that acquisition conditions change leading to possible decrease of performance, because of its characteristic of learning in practice, the incremental learning method can handle the problem effectively. © 2008 IEEE.