Fuzzy Mean and Variance Based Iris Recognition System
Iris recognition is a biometric approach for person authentication. In this paper, a unique method is proposed for applying moments to extract features of human iris. Moments are used to get properties of certain interesting area. It includes intensity of pixels, centroid, invariants of moments and orientation. Then next approach is to compute mean and variance, which are used with rule based fuzzy to get better classification rate. Here two phases of analysis have done which gives the authors valuable outcomes of proposed approach. Obtained average CCR is 86.6% in first test and 95% in second test.