A new system for personal identification based on iris patterns is presented in this paper. It is composed of iris image acquisition, image preprocessing, feature extraction and classifier design. The algorithm for iris feature extraction is based on texture analysis using multi-channel Gabor filtering and wavelet transforms. Compared with existing methods, our method employs the rich 2-D information of the iris and is translation, rotation, and scale invariant.