Implementation of an embedded hardware of FVRS on FPGA

Nowadays, security is needed in every field for variety of applications. Securing personal information as well as personal verification is becoming a critical key problem because of continuous development in the field of electronics. Due to this fact, the biometric authentication has gaining popularity as it provides a high security and reliable approach for personal authentication. Biometrics is an automated recognition of an individual based on uniqueness of their biological or behavioral characteristics. Currently, there are variety of biometric systems like face, fingerprint and voice. However, these systems have some shortcomings like they can be easily duplicated. Finger vein biometric is advantageous over these biometric systems because it has low forgery rate, aliveness detection as well as stable over long period of time. Researchers in this field shows that Hardware based approach are well suited for developing highly secure system as they results in high performance and also low cost. The proposed work deals with the development of person authentication system based on finger vein patterns, which is implemented in Field Programmable Gate Array (FPGA). The paper presents the image processing algorithm and Feature extraction process are implemented 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.