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    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/39025


    題名: Finger-vein recognition based on parametric-oriented corrections
    作者: Hsia, Chih-Hsien
    Guo, Jing-Ming
    Wu, Chong-Sheng
    貢獻者: 電機系
    關鍵詞: Biometrics identification
    Parametric-oriented histogram equalization
    Finger-vein recognition
    Personal identification
    Low-price requirement
    日期: 2017-12
    上傳時間: 2017-12-25 14:07:01 (UTC+8)
    摘要: The two key factors in a biometric identification system are its high identification rate and convenience of device usage. In a finger-vein identification task, these two problems often occur since the captured device of finger-vein image should accommodate the high identification rate as well as the easy-to-use device design. The finger-vein is visually invisible inside the human skin. This work develops a new finger-vein capturing device using Near-Infrared (NIR) LED light and proposes an efficient technique for finger-vein identification. The vein image may contain noise and shadows due to device lighting conditions. Parametric-Oriented Histogram Equalization (POHE) is utilized to enhance image contrast and reduce the noise effect. This work also discusses normalized issues related to the angle correction of the finger edge and Region of Interest (ROI) for width normalization. In the experimental result, the proposed method yields a clear finger-vein pattern with a superior identification rate in the recognition task compared to the state-of-the-art methods.
    關聯: MULTIMEDIA TOOLS AND APPLICATIONS 卷: 76 期: 23 頁碼: 25179-25196
    顯示於類別:[電機工程系] 期刊論文

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