FPGA-Based Finger Vein Recognition System for Personal Verification
Mrunali Jadhav, Priya M. Nerkar · 2015
Abstract — In today’s society with the rapid growth in the field of electronic information technology and its simultaneous deployment in every field, the personal verification is a critical key problem. Due to this fact, the biometric authentication has gaining popularity as it provides a high security and reliable approach for personal authentication. Finger vein biometric is advantageous over other types of biometric systems because it has low forgery rate, aliveness detection as well as stable over long period of time. The paper presents the implementation of image processing algorithm and Feature extraction process in MATLAB. And for final authentication the template matching is carried out on Field Programmable Gate Array (FPGA) for fast recognition. The system is prototyped on Papilio one 500k FPGA board which has Xilinx Spartan 3E chip inside. The performance of the proposed system is evaluated by the time required to verify one input finger vein sample and Precision.