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Algorithm for Automated Iris Recognition Using Biorthogonal Wavelets
Abstract
A comparative study of ability of two novel image retrieval algorithms to provide automated touch-free identification of persons by iris recognition is presented. Namely, applied biorthogonal wavelet methods and the SVD-Free Latent Semantic method are analyzed. Moreover, in case of the applied biorthogonal wavelet method, two approaches were tested and compared: the processing of the whole image and the processing of the image converted to a vector. The point is that different methods for getting rid of the noise were successfully applied in both cases. Numerical experiments on a real biometric database indicate feasibility of the presented approach as an automated iris recognition tool without special image pre-processing.
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