Zak’s transform for automatic identity verification
نویسنده
چکیده
The paper presents a prototype of a biometric system based on human iris code matching. The system consists of the image acquisition, iris features extraction, code determination and the code-matching algorithm. A fast method of coding the iris features, based on Zak’s transform, is introduced. Performance of the system has been verified with the use of a proprietary database of human iris images.
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