DCT-based Iris Recognition Algorithm
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Resource Overview
DCT-based iris recognition algorithm implementation requiring MATLAB Signal & Image Processing Toolbox for execution
Detailed Documentation
According to recent research findings, the Discrete Cosine Transform (DCT) based iris recognition algorithm demonstrates exceptional performance in improving recognition accuracy. This algorithm can be implemented and executed using MATLAB's Signal & Image Processing Toolbox. The implementation typically involves several key steps: preprocessing iris images to normalize size and enhance contrast, applying DCT transformation to extract frequency domain features, and utilizing feature matching algorithms for identification. By employing this method, we can achieve more precise iris information recognition and verification, thereby enhancing both security and recognition performance. The algorithm's core MATLAB functions may include dct2() for 2D discrete cosine transform, image preprocessing functions like imresize and histeq, and pattern matching techniques for comparison.
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