Iris Recognition

Iris recognition, a biometric authentication method leveraging the unique patterns of the iris, aims to develop highly accurate and secure identification systems. Current research emphasizes improving robustness against spoofing attacks (using artificial eyes or images) and addressing challenges posed by varying image resolutions and diverse datasets, often employing deep learning models like convolutional neural networks (CNNs), transformers, and Siamese networks for feature extraction and classification. These advancements are crucial for enhancing the reliability and security of iris recognition in various applications, from border control and forensic science to mobile device authentication, particularly given the increasing need for secure and reliable biometric identification systems.