CASIA Iris

CASIA Iris research encompasses a broad range of applications leveraging iris biometrics, from improving iris recognition accuracy through advanced segmentation and data augmentation techniques (e.g., using U-Net architectures and novel data augmentation methods) to developing novel interaction systems using iris imaging in smart home devices and even assessing fitness-for-duty based on iris characteristics. Current research focuses on addressing challenges like variations in lighting, pupil dilation, and racial biases in existing algorithms, often involving the development of new datasets (like CASIA-Iris-Africa) for more robust and inclusive models. This work has significant implications for improving the reliability and accessibility of iris-based authentication and human-computer interaction systems.