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OALib Journal期刊
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RED Algorithm based Iris Recognition

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Abstract:

Human iris is one of the most reliable biometric because of its uniqueness, stability and non-invasive nature. Biometrics based human authentication systems are becoming more important as government & corporations worldwide deploy them in such schemes as access & border control, time & attendance record, driving license registration and national ID card schemes. For this various preprocessing steps are carried out on the iris image which also includes segmentation. Normalization deals with polar to rectangular conversion. The edges are detected using canny edge detector. Features are extracted using ridge energy direction algorithm. It uses two directional filters i.e. horizontal and vertical oriented. The final template is generated by comparing the two templates and considering the predominant edge. This final template is match with the stored one using hamming distance and the match ID is displayed.

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