Iris Texture

Iris texture analysis focuses on understanding and modeling the intricate patterns and deformations within the iris, primarily for biometric identification and related applications. Current research emphasizes developing accurate models of nonlinear iris texture changes due to pupil size variations, often employing deep learning architectures like autoencoders to learn these complex deformations directly from data. This work is significant for improving the accuracy and robustness of iris recognition systems, particularly in challenging conditions, and also aids forensic analysis by enabling better comparison of iris images with varying pupil dilation.