Abstract
An iris is unique physiological biometric trait compared to other biological traits to authenticate a person. In this paper we propose straight line fusion based iris recognition using Adaptive Histogram Equalization (AHE), Histogram Equalization (HE) and Discrete Wavelet Transform (DWT). The CASIA V.I iris database is considered and horizontal iris template is generated in the pre-processing. The iris template is enhanced using AHE and HE. The DWT is applied on enhanced image to generate low and high frequency components. The iris features are generated using novel concept of straight line fusion on low and high frequency components of DWT. The final features of iris database are compared with features of test iris template using Euclidian distance to compute performance parameters. It is observed that the values of performance parameters are better in the case of proposed algorithm compared to existing algorithms.
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