Zak's transform for automatic identity verification

Czajka, A; Pacut, A

  • 4th International Conference on Recent Advances in Soft Computing, RASC;
  • Tom: -;
  • Strony: 374-379;
  • 2002;

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.