Integrating IoT Module for Real-time Finger Vein Detection: A Novel Approach

A biometric detection system named finger vein recognition studies the vein patterns in human fingers that are concealed under the skin's surface through pattern recognition algorithms. It involves comparing the vascular pattern of a person's finger with previously collected data. This technology is currently being applied and developed in various applications, including credit card authentication, vehicle security, employee time and attendance tracking, computer and network authentication, endpoint security, and automated teller machines. The article presents a novel approach to segmenting finger veins in real-time using an embedded terminal technique. Due to the limitations of current finger vein segmentation networks, which are too large and impractical for mobile terminals, as well as the time-consuming nature of deep networks on hardware platforms, the segmentation index decreases when the lightweight network parameters are reduced.