MATLAB Implementation of Iris Recognition Algorithm

This article presents an iris recognition algorithm program that effectively implements iris identification. Iris recognition represents an advanced biometric technology that analyzes and compares texture patterns and unique characteristics of the human iris for individual identity verification. The development of this algorithm program is crucial for enhancing the accuracy and reliability of iris recognition systems. The implementation typically involves MATLAB functions for image preprocessing (including iris localization and normalization), feature extraction using methods like Gabor filtering or wavelet transforms, and pattern matching algorithms such as Hamming distance comparison. Iris recognition technology finds extensive applications in security domains, including but not limited to personal identity authentication, border control inspections, and financial transactions. Therefore, the research, development, and application of this iris recognition algorithm program hold significant importance for modern security systems.