Improved Iris Recognition System Using Wavelet Transform and Ant Colony Optimization

摘要

Feature selection and feature optimization play an important role in iris recognition system. Iris recognition system provide the great security flexibility for authentication and identification of genuine and imposters users. In this paper we proposed an optimized feature selection process for iris image template creation. The feature extraction process is performed by wavelet transform function and also modified the matching technique for iris recognition using multi-class SVM and ant colony optimization. Our empirical result evaluation shows that better performance of our proposed method in compression of hough tranform recognition technique.