Iris recognition system using combined histogram statistics
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Abstract
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 UPOL are pre-processed and segmented. The proposed system gives a 100% recognition rate on 64 iris images. The reliability of the proposed system is demonstrated by providing FRR and FAR curves with 0.00% EER. © 2008 IEEE.
Description
2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008 --
Keywords
Biometrics, Information science, Pixels, Cross correlations, Feature vector (FV), Histogram statistics, Iris images, Iris recognition, Majority voting, Pixel statistics, Recognition rates, Regression analysis
