Human IRIS Identification Via Low-Complexity Circular Periodicity Transform

In this paper, we propose a low-complexity circular periodicity transform (CPT) for human iris identification. The proposed CPT enhances the standard periodicity transform by enabling the extraction of a wide spectrum of periodic patterns hidden in human iris. A computation-efficient architecture is developed for accurate iris identification with minimal hardware cost. The CPT-based iris identification system achieves up to 99.2% recognition rates with 21.8% - 56.2% reduction in computation complexity as compared with the standard periodicity transform. The proposed CPT in combination with architecture optimizations address the challenges in single-chip implementation of biometric systems