关键词: 虹膜识别，二维主分量分析，小波，Hamming距离，旋转不变

Abstract: Recently, as tow effective methods for image analysis, 2D-PCA and wavelet transform get extensive attenlions. A fast iris recognition arithmetic was proposed in this paper based on 2D-PCA and wavelet. Firstly,we pre-dealt with the image; then applied 2D-PCA on the two third level middlcfrequcnce subband of wavclet coefficient, then got the feature vector by combination and symbol uantify;finally, we applied multi-templet matching between unknown class sample and feature database, in the same time, in order to increase the robustness against rotation of the original image, we applied a anti-rotation method on the unknown class image; then got the ecognition result by K-Neighbor and threshold. The experiment result validates the efficiency of the arithmetic proposed.

Key words: Iris recongnition, 2D-PCA, Wavelet, Hamming distance, Rotation invariance