An biometric identification system by extracting hand vein patterns

This paper presents an ASP (application specific processor) for vein pattern extraction and its application to a biometric identification system. For the conventional vein pattern extracting algorithm, it is necessary to use a high-priced DSP processor suitable for a floating-point operation and a real-time process. The proposed processor adopts a shift-and-add architecture for filters, so the preprocessing algorithm can be done with a fixed-point operation, and the filter coefficients are designed with 7-tap CSD codes. A reliability of 99.45[%] and a verification speed of 150 ms/person were obtained, which demonstrated enhanced performance compared to the conventional algorithm. The processor was implemented using a FPGA (field programmable gate array) device. If the price and the performance of recognition are considered, the proposed biometric identification system is applicable to personal identification systems, security systems, etc.