Abstract Recently, the Iris Recognition system has been considered an effective biometric model for recognizing humans. This paper introduces hybrid technique combining edge detection and segmentation, in addition to convolutional neural network (CNN) Hamming Distance (HD), extracting features classification. The proposed is applied different datasets, which are CASIA-Iris-Interval V4, IITD, MM...