MATLAB Implementation for Iris Recognition System

The MATLAB iris recognition program represents an advanced biometric technology that processes image data through multiple algorithmic stages. Iris localization involves detecting the iris region within eye images using circular Hough transforms or integro-differential operators to precisely identify pupillary and limbic boundaries. Normalization converts iris textures from Cartesian to polar coordinates using the rubber sheet model, creating standardized representations invariant to pupil dilation and size variations. Encoding employs 2D Gabor filters or wavelet transforms to extract phase information, generating compact binary iris codes through quantized phase quadrants. The matching phase calculates Hamming distances between encoded templates, implementing decision thresholds for authentication. This MATLAB-based iris recognition system provides secure, efficient biometric solutions applicable to personal identity verification, access control systems, and transaction authorization through optimized image processing functions like regionprops for segmentation and bwdist for morphological operations.