MATLAB Code for Automatic Iris Segmentation Using Hough Transform

In this document, I will demonstrate how to implement automatic iris segmentation using MATLAB code based on the Hough transform technique. Automatic iris segmentation is a crucial image processing method widely applied in iris recognition and biometric identification systems. By leveraging the Hough transform algorithm, we can efficiently detect and segment iris boundaries while extracting them from eye images. This MATLAB code automates the entire process, significantly reducing manual effort and processing time. Before implementing the code, ensure MATLAB is installed with basic familiarity in image processing workflows. The implementation involves four key stages: First, image import and preprocessing (using functions like imread and imgaussfilt) to enhance edge detection accuracy. Second, applying the Hough transform (via hough and houghpeaks functions) to detect circular patterns representing iris boundaries. Third, segmenting the iris region based on detected circular parameters using morphological operations. Finally, saving the segmented iris as a separate image file through imwrite. The code employs adaptive thresholding and circular Hough transform specifically tuned for iris curvature characteristics, ensuring robust performance under varying lighting conditions. This MATLAB solution enables fast and precise automated iris segmentation, providing a reliable foundation for iris-based biometric authentication systems.