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Efficient Iris Recognition Using Phase Code with Appropriate Preprocessing
Abstract
Iris recognition is one of the most promising approaches in the area of biometric due to its high reliability for personal identification. The proposed approach provides an efficient iris recognition algorithm using phase-based image matching that is,an image matching technique using only the phase components in 2D Curvelet Transform of given images. This approach supports proper preprocessing steps to remove the irrelevant parts correctly from the given image and to extract only the iris region. The phase codes are generated by using curvelet transform from the extracted iris region. The phase based image matching technique provides a nified framework for high accuracy biometric authentication. Matching is done by block partitioning method. The phase only correlation(POC) matching algorithm is proposed for this approach. By using this matching algorithm by introducing a spatial ensemble averaging of the POC function is suitable for the degraded iris images.
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References
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