SVM BASED PERFORMANCE OF IRIS DETECTION, SEGMENTATION, NORMALIZATION, CLASSIFICATION AND AUTHENTICATION USING HISTOGRAM MORPHOLOGICAL TECHNIQUES

An Efficient Authentication for Iris Authentication Using Iris Pattern, the proposed System detects the Presentation Attack. A novel presentation attack detection (PAD) scheme based on one-of-the-art schemes. The proposed MBSIF that can accurately capture both micro-texture (with multiscale binarized statistical image features and linear support vector machines. Extensive experiments are carried out on four different publicly available iris artifact databases that have revealed the outstanding performance of the proposed PAD scheme when benchmarked with various well-established state small scale size) as well as coarse texture (using large scale size) information from both per ocular and iris region.