Analysis of Iridology using Zhang- Suen’s Algorithm

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J. Sahaya Sheeba Mangalam
Dr. S. T. Deepa

Abstract

Biometrics is the measurement and statistical analysis of people’s physical and behavioural characteristics. The technology is mainly used for identification and access control, or for identifying individuals that are under surveillance. The biometric features can be used for authentication. There are many biometric modalities like the fingerprint, iris, face recognition, signature and gait. Iris found in an eye image forms the important biometric feature in a human body. This paper proposes new methodology for iris segmentation and accurate measures for post processing using Thinning algorithm. The pre-processing steps involving binarization and thinning of the iris is done. The Zhang- Suen’s algorithm is the most effective thinning algorithm. Simulations are done using MATLAB. The final result helped in concluding that thinning algorithm is an indispensable process which needs to be done for precise calculations.

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