Study and Implementation on FPGA of Human Recognition System via Iris Based on Deep Learning

Due to the distinct and consistent traits found in the human iris, iris recognition systems have garnered significant attention for biometric identification and authentication purposes. The project presents an extensive investigation and practical implementation of an iris recognition system on an Field Programmable Gate Arrays (FPGA). The primary objective is to develop an efficient and dependable biometric authentication solution. The study introduces an innovative software-based approach that improves system performance and addresses critical challenges associated with iris recognition technology. The valuable insights obtained from this project are expected to drive future advancements in iris recognition technology, while also contributing to the ongoing development of more secure and trustworthy biometric authentication systems.