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一种基于形态小波的在线掌纹的线特征提取方法 被引量:18

A Line Feature Extraction Method for Online Palmprint Images Based on Morphological MedianWavelet
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摘要 在线掌纹中的线特征性能比较稳定 ,表示方法简单 ,特征空间小 ,可实现快速检索与匹配 .该文针对在线掌纹图像噪声强、对比度低的特点 ,提出利用形态中值小波对原始图像进行非线性多分辨率分析 ,然后取其中的低频分量进行方向选择模板匹配 ,得到了较理想的实验结果 . Stable, simple line features of online palmprint are the key issues for popularization the palmprint identification technology. Aiming at the characteristics of strong noise and low contrast, a line extraction method based on morphological wavelet and spatial directional selection template is proposed for online palmprint, by which lines can be effectively extracted out.
出处 《计算机学报》 EI CSCD 北大核心 2003年第2期234-239,共6页 Chinese Journal of Computers
基金 国家自然科学基金 ( 6 9772 0 2 6 ) 广东省教育厅重点项目 ( 990 0 49)资助 .
关键词 形态小波 在线掌纹 线特征提取方法 掌纹图像 图像处理 图像质量 palmprint image line feature extraction non-linear multi-resolution analysis
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参考文献6

  • 1Zhang David D. Automated Biometrics Technologies and Systems. Kluwer Academic Publishers, 2000
  • 2Zhang Da-Peng, Shu Wei. Two novel characteristics in palmprint verification: Datum point invariance and line feature matching. Pattern Recognition, 1999, 32( ):691~702
  • 3Wu Paul S, Li Ming. Pyramid edge detection based on stack filters. Pattern Recognition Letters, 1997, 18( ):239~248
  • 4Wu Paul S, Li Ming. Pyramid adaptive dynamic hough transform to detect edges with arbitrary shapes. Optical Engineering, 1997, 36(5):1425~1430
  • 5Goutsias J, Heijmans H J AM. Multiresolution signal decomposition schemes.Part2: morphological wavelets. IEEE Transactions on Image Processing, 2000, 9(11):1877~1896
  • 6Li WX, Zhang D, You J. An effective approach to offline palmprint identification. In: Proceedings of the MMWS, Hong Kong, 2000. 284~288

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