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基于小波变换过零检测的虹膜识别技术 被引量:15

Recognition of lris Using the Wavelet Transform Zero-Crossing Detection
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摘要 使用小波变换过零检测算法可实现人眼虹膜图像的编码和识别 .瞳孔尺寸变化会使虹膜纹理图像变形 ,进而影响识别算法 .采用虹膜变形模型克服了瞳孔缩放带来的影响 ,并针对图像编码不等长问题 ,提出了有限变形相似度的相似度算法 。 Wavelet transform zero crossing detection method can be used for the coding and recognition of human iris. The change in the size of pupil will cause deformation in iris image, and will further affect the recognition algorithm. So, an iris deform model was used to solve this problem. A limited deformation similarity algorithm was also presented to compare the codes with different length.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2002年第3期355-358,共4页 Journal of Shanghai Jiaotong University
关键词 小波变换 过零检测 虹膜识别 身份识别 计算机 iris recognition of identity wavelet transform zero crossing detection iris deform model
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参考文献4

  • 1[1]Daugman J. High confidence recognition of person by rapid video analysis of iris texture [A]. European Convention on Security and Detection [C]. Brighton, UK:INSPEC, 1995.244-251.
  • 2[2]Wildes P. Iris recognition: an emerging biometric technology [J]. Proceeding fo IEEE, 1997, 85:1347-1363.
  • 3[3]Bobles W W. A human identification technique using image of the iris and wavelet transform [J]. IEEE Transaction on Signal Processing, 1998,46:1185-1188.
  • 4[4]Mallat S. Zero-crossing of a wavelet transform [J]. IEEE Transaction on Information Theory, 1991,37:1019-1033.

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