Design of Palm Vein Platform and Pattern Enhancement Model Based on Raspberry Pi

Abstract

In recent years, with the rapid development of biometrics technology, vein recognition is slowly integrating into our lives. At present, there are many related applications of hand veins and finger veins. The palm veins are deep under the skin and interfere with palm prints, which increases the difficulty of obtaining them, resulting in relatively few applications. Based on the research of palm vein image acquisition, this paper designs a set of auxiliary acquisition equipment to complete the acquisition of vein images under a comfortable somatosensory. The device takes the Raspberry Pi as the core of the model, supplemented by accessories such as luminous light source, optical sensor, control chip and small display, which can complete the collection of vein images. And through the algorithm of restricted contrast histogram equalization, Gaussian denoising, gabor filtering and other algorithms optimized for palm veins in the Raspberry Pi, the palm vein lines are enhanced to improve the image quality. The model integrates multiple modules into one mold, greatly reduces the volume of the model, improves the speed of the overall collection process, and has good application value.