期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：5
出版社：IJCSI Press
摘要：Iris recognition is one of the reliable and more stable biometric recognition for authenticating person which is very interesting and active topic in research and practical application. Iris recognition system consists of localization of the iris region and generation of data set of iris images followed by iris pattern recognition. In this paper, 2D wavelet transform is applied to the raw image to reduce the size then the localization of the iris region is done by using Circular Hough transform (CHT). The Log Gabor filter is employed to extract the iris features from the normalised image. It is represented by a data set. Using this data set a Neural Network (NN) is used for the classification of iris patterns. The adaptive learning strategy is applied for training of the NN. The results of simulations illustrate the effectiveness of the neural system in personal identification.
