Iris Pattern

Iris pattern analysis focuses on identifying and utilizing the unique texture of the iris for biometric authentication and other applications like gaze estimation and scene reconstruction from eye reflections. Current research emphasizes improving iris segmentation and recognition accuracy through advanced deep learning models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs like LSTMs), and addressing challenges like pupil dilation variations and ethnic differences in iris features. These advancements enhance the reliability and robustness of iris-based systems for security, healthcare, and human-computer interaction, with ongoing work exploring the potential of large language models in iris analysis.