Optical filter of multi-mother multi-vanishing moments joint best bases for iris identification

摘要

The eigen-image correlation recognition method proposed for optical image recognition is utilized in this paper for optical iris recognition. The best basis selection of this method is modified by introducing new criterion for evaluating wavelet packet bases. Using the cascade algorithm, the 2-D approximations of wavelet packet basis functions are computed. And the direct transforms of these wavelet packet bases make the larger scale of basis selection possible. From the wavelet packet basis set of 25 mothers, multi-mother multi-vanishing moment joint best bases are chosen for iris recognition. Their eigen-images are generated for optical experiments. Based on these best bases, an optical wavelet packet gray scale filter is designed and fabricated to improve the optical recognition. In a volume holographic correlation system, optical experiment results show this filter is efficient to achieve higher identification rate.