A New Iris Recognition Method for Identification Systems

To present a new reliable and accurate iris recognition method applicable in identification systems. The system was implemented and tested on 876 standard iris images (Daugman Iris Images Database) from 876 persons of different nationalities via image processing techniques. False Accept Reject (FAR) and False Reject Reject (FRR) were smaller in our suggested method as compared to Daugman’s method. Moreover, time needed for image processing and volume of image processing was smaller in our method as compared to Daugman’s method. In other words, our suggested method for iris recognition was more accurate and faster than the currently standard method. This new method can be applied as an accurate and rapid method in many domains such as identification systems or diagnosis of ophthalmic diseases.