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基于二进小波变换的虹膜识别算法研究 被引量:2

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摘要 讨论了虹膜图像定位等预处理方法 ,并提出了基于二进小波变换过零检测的虹膜图像识别算法 ,利用图像在不同分辨率下的特征表示 ,对虹膜上的采样同心圆计算不同分辨率下的过零小波变换 ,产生 1-D信号 ,然后对它用相异度函数与模板特征比较。实验表明 ,该方法克服了漂移、旋转和比例放缩带来的局限 ,并且识别率高 。
出处 《中国有线电视》 北大核心 2002年第24期28-31,共4页 China Digital Cable TV
基金 广西教育厅科学基金项目
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参考文献8

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同被引文献12

  • 1J Daugman. High confidence visual recognition of persons by a test of statistical independence[J]. IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 1993,15 : 1148-1161.
  • 2W Boles, B Boashansh. A human identification technique using images of the iris and wavelet transform[J ]. IEEE Trans. Signal Processing, 1998,46(4) :1185-1188.
  • 3Li Ma, Tieniu Tan, Yunhong Wang, et al. Local intensity variation analysis for iris recognition[J]. Pattern Recognition,2004,37 : 1287-1298.
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  • 6S I.im, IK Lee, O Byeon, et al. Efficient iris recog- nition through improvement of feature vector and elassifier[J]. ETRI Journal,2001,23(2) ..25 29.
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  • 8GonzalesRC.数字图像处理[M].2版.阮秋琦,洋.北京:电子工业出版社,2003:91-95.
  • 9王珥.基于MATI.AB的虹膜识别系统研究[D]:[硕士学位论文].武汉:武汉理工大学,2007.
  • 10吕英华,崔景霞.基于FWT-Projection-BPNN的表情识别[J].东北师大学报(自然科学版),2009,41(2):84-91. 被引量:3

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