To extract palm vein pattern and palm print structure from acquired images, it is necessary to apply a filtering and feature extraction algorithm. Therefore, we have implemented complex 2D matched filter method in FPGA. Input image from the camera module is filtered “on the fly” without saving data in SRAM IC. Only the RAM bits that are available in FPGA are used. Filtering is performed in the real time with 60 fps and a resolution of 752 x 480. After the filtering with CMF the most significant vectors from different regions of the palm are extracted for further processing. Images below show the input image, image filtered with CMF and the vector set that is extracted from the CMF result.

Result of CMF on FPGA

Vector extraction after CMF