IRIS RECOGNITION SYSTEM USING A CANNY EDGE DETECTION AND A CIRCULAR HOUGH TRANSFORM
Naveen Kumar Singh, Dilip Kumar Gandhi, Krishna Pal Singh · 2011
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. In this paper, we describe the novel techniques we developed to create an Iris Recognition System, in addition to an analysis of our results. We used a fusion mechanism that amalgamates both, a Canny Edge Detection scheme and a Circular Hough Transform, to detect the iris’ boundaries in the eye’s digital image. We then applied the Haar wavelet in order to extract the deterministic patterns in a person’s iris in the form of a feature vector. By comparing the quantized vectors using the Hamming Distance operator, we determine finally whether two irises are similar. Our results show that our system is quite effective.