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基于ICA和BP神经网络相结合的掌纹识别

陈智 黄琳琳

陈智, 黄琳琳. 基于ICA和BP神经网络相结合的掌纹识别[J]. 北京航空航天大学学报, 2008, 34(03): 290-294.
引用本文: 陈智, 黄琳琳. 基于ICA和BP神经网络相结合的掌纹识别[J]. 北京航空航天大学学报, 2008, 34(03): 290-294.
Chen Zhi, Huang Linlin. Palmprint recognition based on ICA and BP neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(03): 290-294. (in Chinese)
Citation: Chen Zhi, Huang Linlin. Palmprint recognition based on ICA and BP neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(03): 290-294. (in Chinese)

基于ICA和BP神经网络相结合的掌纹识别

详细信息
  • 中图分类号: TP 391.4

Palmprint recognition based on ICA and BP neural network

  • 摘要: 提出了一种基于独立成分分析(ICA,Independent Comment Analysis)和多层前馈(BP,Back Propagation)神经网络相结合的方法对掌纹进行识别.首先采用一种新的方法检测角点,得到掌纹图像的不变特征点,根据这些点校正掌纹方向并得到掌纹的感兴趣区域.对该区域采用定点快速ICA算法(FastICA),得到掌纹特征子空间,然后构建BP神经网络,并采用训练样本得到的掌纹特征进行训练,得到合适的权值.对香港理工大学掌纹数据库进行测试,与主成分分析(PCA,Principal Components Analysis)提取特征的方法进行比较,取得了较高的识别率.

     

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出版历程
  • 收稿日期:  2007-06-29
  • 网络出版日期:  2008-03-31

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