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Feature Component-Based Extreme Learning Machines for Finger Vein Recognition

机译:基于特征组件的极限学习机,用于手指静脉识别

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  • 来源
    《Cognitive computation》 |2014年第3期|1-16|共16页
  • 作者单位

    1.Institute of Remote Sensing and Earth Science Hangzhou Normal University Hangzhou 311121 China 2.Division of Electronic and Information Engineering Chonbuk National University Jeonju 561756 South Korea;

    3.Department of Multimedia Engineering Mokpo National University Jeonnam 534729 South Korea;

    4.College of Computer Science and Information Engineering Tianjin University of Science and Technology Tianjin 300222 China;

    2.Division of Electronic and Information Engineering Chonbuk National University Jeonju 561756 South Korea;

    2.Division of Electronic and Information Engineering Chonbuk National University Jeonju 561756 South Korea 5.IT Convergence Research Center Chonbuk National University Jeonju 561756 South Korea;

    1.Institute of Remote Sensing and Earth Science Hangzhou Normal University Hangzhou 311121 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Extreme learning machine; Ensemble; Feature component; Finger vein recognition; Guided directional filter;

    机译:极限学习机;集合体;特征部件;手指静脉识别;引导式定向滤波器;

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