An Iris Recognition Based on GHM Multi-Wavelet Transformation

Multi-wavelet is extremely effective for analyzing mutational signals and singular signals with good local specialty and spatial direction selectivity. Meanwhile its basis function may be chosen to gain the specific signal support. And energy is mainly concentrated in the low frequency sections after GHM multi-wavelets transformation. In this paper, we proposed a new iris recognition method that decomposed iris images using GHM multi-wavelet, and gained some specific low frequency sub-bands to establish the effective expression of iris characteristic vector space. The experimental data indicate that the recognition algorithm achieves higher recognition efficiency and stronger robustness.