Generation of Iris Template for recognition of Iris in Efficient Manner
نویسندگان
چکیده
To find a fast, effective iris template aimed at speeding up the iris localization, normalization and feature extraction process and increasing their precision. Iris localization is the main part of any iris recognition system as the success of any Biometrics system depends on the accurate and effective i.e. less timeconsuming localization method. Further, iris detection is a computationally intensive task in the overall iris biometric processing. The Paper discusses how different algorithm’s function can be used in finding an innovative solution for iris image acquisition. Using an efficient localization, normalization and encoding algorithm may achieve the said objective for our problem. The algorithm requires iris image database of individuals. Dougman’s function is used for localization, rubber sheet model for normalization and labor masek feature extraction function for fast and effective iris detection. Keywords-Biometrics,localization,Normalization, Template, feature extraction.
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