The Study Of Finger Vein Recognition System Based On OMAPL137 Embedded Platform

Personal identification plays an important role in information security system, and it can guarantee the normal operation for this system. The biometric identification is an easy and reliable way to achieve personal identification. Among the different biometrics patterns, the finger vein pattern has many advantages, such as high speed, high safety, high precision, alive identification and untouchable detection. Recently many institutes and scholars put efforts on finger vein pattern's study, and develop some application devices. But most of them are on the basis of PC machine and achieve the identification process, but with high cost, high power consumption and difficult to take. This paper propose a identification system for finger vein identification based on OMAPL 137 embedded system, which is a small and portable device, as well with low cost and low power consumption.In this paper main tasks are as below. Firstly we introduce the current study situation of personal identification based on finger vein and figure out the functional requirement of this biometrics. Secondly the identification system is put forward based on OMAPL 137 processor and Montavista- Linux operation system. The capturing system for finger vein is a study focus. Thirdly a new algorithm of capturing and identification for finger vein pattern is proposed based on the synthesis analysis of common algorithm. Finally a human-machine interface is developed by qt-embedded tool. The experimental result shows that the system has the advantage of high resolution, real time operation and so on.