The aim of this study is evaluating the effect of irregular determination on the efficiency of hybrid iris recognition system. In this study, two phases of training and testing were done. The first phase of training and testing is performed on the images which determined before enhancement, while the second phase of training and testing is performed on the images which determined after enhancement. The accuracy of the system tested on CASIA-v4.0 interval database. Canny edge detection and Hough transform used to determine the irises. Histogram equalization method is used to enhance the images. Feature extraction performed by applying Gabor wavelet and Zernike moment on the images database.The results of recognition of the hybrid system in the first phase achieved accuracy about 96%. While the recognition of the second phase is equal to 60%. This accuracy is measured depending using 50 people, each person has 5 images used for training and 2 images used for testing.

The aim of this study is evaluating the effect of irregular determination on the efficiency of hybrid iris recognition system. In this study, two phases of training and testing were done. The first phase of training and testing is performed on the images which determined before enhancement, while th...