Study of User Authentication Based on Face and Periocular Regions using Deep Learning Algorithm

This research focuses on the development of a novel biometric identification system utilizing iris recognition technology. The proposed system employs deep neural networks, Gabor filtering, and the Grassmann algorithm to accurately detect and identify iris patterns. By analyzing unique iris patterns, the system provides a highly reliable and secure means of identification. The research highlights the advantages of iris recognition as a biometric modality, emphasizing its stability, uniqueness, and resistance to spoofing. The findings of this research contribute to the advancement of biometric authentication systems, offering a secure and reliable solution for various applications, including access control, identity verification, and security surveillance.