Research And Design Of Embedded Finger Feature Acquisition System

With the big data age coming, the security and privacy of data have gained extensive attention. Personal identification is one of effective methods that address the data security problem. However, traditional unimodal biometric usually was far from perfect in many real applications due to its inherent disadvantages. As a newly emergent biometric technology,multimodal finger-feature recognition has shown more stability and security than unimodal biometric as it takes two or more biometrics modalities into account for personal authentication. In order to design a portable multimodal biometric device, an embedded finger-feature image acquisition system based on ARM11 and WinCE6.0 is proposed.According to the physiological structure of fingers and their imaging properties in near infrared light, an embedded imaging system is presented for multimodal finger image acquisition in this thesis, which can be divided into two parts: imaging hardware and operation software. The hardware platform principally includes an ARM core motherboard and a system expansion board. The ARM core is used to control the whole system, and the expansion board is in charge of image acquisition and providing an interface to the related peripheral equipments. For the software part, we firstly make the WinCE6.0 operating system compatible to ARM11 motherboard. Based on the regulated WinCE6.0, we then develop a camera driver, and design an image acquisition modular, which can be recompiled and transplanted into an ARM based embedded system.Experimental results show that the proposed embedded imaging system can successfully capture clear images of finger-vein and finger-knuckle-print. And the developed embedded device has the merits in low-costing, portability and integrability.