Fast Iris Recognition

The purpose of this paper is to achieve a system with fast response. Necessary pre-processing to achieve the feature extraction stage are image segmentation, image normalization, image quality improvement and image denoising. After above steps we need to extract features and encode them .in this paper we used Symlet4 wavelet transform for extract features. Then we propose two algorithms for fast response of identification system. Our first suggestion is to convert all database two classes. Anyone who wants to confirm identify, import their code and so all details converted into two classes .someone who wants to confirm identify is a class and remaining data is another class. The second proposed approach is using a threshold for similarity measure.