Abstract
-Iris is one of the important biometrics techniques. The pupil may vary in from 10% to 80% of the iris diameter, but fundamental rods & cons structure for an individual remains unique till the life time. The important thing is its feature which has a unique pattern and not related to genetic feature. In our work we have localized, normalized and enhanced the image by using Daugman's Integro-differential Operator, Cartesian to polar coordinates, Histogram equalization, reflectively Gaussian filter was applied and then iris code were generated. Hamming distance was used for pattern matching. The overall success rate achieved 80%.
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CITATION STYLE
HR, G., & CN, M. (2011). IRIS CODE GENERATION AND RECOGNITION. International Journal of Machine Intelligence, 3(3), 103–107. https://doi.org/10.9735/0975-2927.3.3.103-107
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