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This paper proposes a high performance iris recognition system based on the probability distribution functions (PDF) of pixels in different colour channels. The PDFs of the segmented iris images are used as statistical feature vectors for the recognition of irises by minimizing the Kullback-Leibler distance (KLD) between the PDF of a given iris and the PDFs of irises in the training set. Feature vector...
This paper proposes a novel iris recognition system based on matching colour pixel statistics. The proposed system uses colour histograms as pixel statistic feature vectors for recognition of irises by cross correlation between the histogram of a given iris and the histograms of irises in the database. Majority voting (MV) has been applied to achieve the final recognition. Iris images taken from the...
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