Iris recognition is a biometric technique that offers premium performance. Iris localization is critical to the success of an iris recognition system, since data that is falsely represented as iris pattern data will corrupt the biometric templates generated, resulting in poor recognition rates. So far different algorithms for iris localization having been proposed. This paper explored four efficient methods for iris localization, out of these three methods of iris localization in circular form and one methods of unwrapping the iris in to a flat bed. Experimental results are reported to demonstrate performance evaluation of every implemented algorithms. Conclusion based on comparisons can provide most significant information for further research. A CASIA and UPOL iris databases of iris images has been used for implementation of iris localization General Term Biometrics,Iris Recognition,Iris Localization
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