IRIS Detection using Hamming Distance Model

Abstract

NEC and R&D offers biometric authentication technologies, NEC aims to realize a safe, secure, efficient, and equal society by expanding iris matching solutions for criminal investigation, immigration control, and national identification systems in different regions around the world. This paper attempts to describe a unique approach to create an iris feature extraction and matching system. Gabor wavelet transform is applied to extract the patterns in a person’s iris in Hamming distance between two pairs of iris in data matrix. To conclude, our method has achieved a better total successive rate (TSR) and reduced equal error rate (EER), false accept rate (FAR) and false reject rate (FRR). Proposed algorithm accuracy rate is good Compare than the existing algorithms.