| Summary: | 碩士 === 國立中央大學 === 電機工程研究所碩士在職專班 === 100 === This thesis aims at developing a microprocessor-based system to achieve a finger-vein user identification system. Light-transmitted finger images were acquired using a CCD camera, and the finger-vein images were subsequently segmented and recognized using hardware implemented on a C8051 microprocessor. The contributions of this thesis can be divided into two parts. The first part is the formation of image processing algorithm for finger-vein image segmentation. The second part is the hardware implementation of the proposed finger-vein image processing on a C8051 microprocessor. The whole processing steps, including binarization, median filter, and user recognition using images of finger vein, were performed on hardware written in Keil C computer language. Our preliminary results demonstrated the proposed system provides reliable and high-accuracy results, which can be used as a low-cost and high-security user identification system for daily-life applications in the future.
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