Design And Implementation Of Finger Vein Recognition System

In the context of the rapid development of modern society,the importance of information security has become increasingly prominent due to the gradual popularization of computers and network technologies.The identification of identity information is an important step in the security of information systems,and biometric technology brings the possibility of solving this problem.Among many biometric technologies,biometric recognition technology based on finger vein features has the advantages of high-speed recognition,high precision,internal features and non-contact,and has become a second-generation biometric technology that has attracted much attention.According to the principle of finger vein recognition technology,the paper studies the system and improves the partial recognition algorithm.The feasibility of the algorithm is verified on the STM32 hardware platform.The specific research contents are as follows:(1)Under the influence of factors such as finger vein imaging equipment and environment,the original image quality of the finger vein collected is low.This paper uses the bilateral filtering combined with the single-scale Retinex algorithm to enhance the vein image method for global image enhancement,and through image quality.The evaluation algorithm is compared to prove its validity.(2)In order to improve the accuracy of segmentation and extraction of finger vein feature regions,an improved valley detection algorithm combined with Canny edge correction is proposed.The pre-processed enhanced image first enhances the local area of the finger vein feature by the improved valley detection algorithm,and then performs the second correction of the feature area by the Canny edge extraction algorithm.The method not only ensures the integrity of the finger vein feature,but also reduces the interference of the pseudo-vein to the recognition accuracy.The effectiveness of the method is proved by experiments.(3)When the finger vein recognition algorithm is transplanted to the embedded device,taking into account the limited computing power of the embedded hardware,a fast detailed vein feature algorithm with low time complexity is used to extract the vein feature template for comparison.This algorithm plays a key role in the process of transplanting the finger vein recognition algorithm to the STM32 platform.Experiments show that the STM32 finger vein recognition system based on STM32 design and implementation has the advantages of small acquisition equipment,high real-time acquisition,stable vein extraction and strong system integrity.The finger vein recognition algorithm designed and successfully transplanted for the embedded platform also has important reference value.