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一种新的基于多小波变换的虹膜识别算法 被引量：1

A New Iris Identification Method Based on Multiwavelet Transform
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摘要 提出一种基于多小波变换的新的虹膜识别算法.利用CL多小波优良的数学性质,虹膜纹理特征能够被准确完整地表达.将分解后子带作为特征编码,利用空间向量的方向夹角余弦作为匹配方法,有效克服了缩放、平移、光照等影响,达到了较好的识别效果. This paper is proposed a new method for iris identification based on multiwavelet transform. By means of the mathematical properties of CL muhiwavelet, the iris texture feature can be presented accurately and primely. The sub-bands are coded and the information of direction cosine is used for iris matching, by means of which this method overcomes zoom, shift and illuminance and obtains approving effect.
作者 魏连鑫 朱伟民 吴登峰 徐涛
机构地区 吉林大学数学研究所 吉林大学机械科学与工程学院
出处 《吉林大学学报（理学版）》 CAS CSCD 北大核心 2007年第1期68-72,共5页 Journal of Jilin University:Science Edition
基金 教育部高等学校博士点专项科研基金(批准号:20050183018) 吉林大学"985工程"科技创新基金
关键词 虹膜识别 多小波变换 纹理特征 iris identification multiwavelet transform texture feature
分类号 TP752 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献9

  • 1Daugman J. High Confidence Recognition of Person by Rapid Video Analysis of Iris Texture [ C ]//European Conventionon Security and Detection. Brighton: INSPEC, 1995: 244-251.
  • 2Wildes P. Iris Recognition: an Emerging Biometric Technology [ J ]. Proceeding for IEEE, 1997, 85:1347-1363.
  • 3Boles W W. A Human Identification Technique Using Image of the Iris and Wavelet Transform [ J ]. IEEE Transaction on Signal Processing, 1995, 46: 1155-1155.
  • 4MA Li, TAN Tie-niu, WANG Yun-hong, et al. Personal Identification Based on Iris Texture Analysis [J]. IEEE Trans Pattern Anal Mach Intell, 2003, 25(12) : 1519-1533.
  • 5Daugman J. Biometric Personal Identification System Based on Iris Analysis: US, 5291560 [ P]. 1994-03-01.
  • 6Hough P V C. Method and Means for Recognizing Complex Patterns: US, 3069654 [P]. 1962-12-18.
  • 7Strela V, Heller P N, Strang G, et al. The Application of Multiwavelet Filter Banks to Image Processing [J]. IEEE Trans on Image Processing, 1999, 8(4) : 548-563.
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同被引文献8

  • 1Daugman J G.How iris recognition works?[J].IEEE Transactions on Circuits and Systems for Video Technolngy,2004,14(1):21-30.
  • 2Wildes R P.Automated iris recognition:An emerging biometric technology[J].Preceedings of the IEEE,1997,85(9):1348-1363.
  • 3Boles W,Boashash B.A human identification technique using images of the iris and wavelet transform[J].IEEE Trans on Signal Proc,1998,46(4):1185-1188.
  • 4Lin S,Lee K,Byeon O,et al.Efficicnt iris recognition through improvement of feature vector and classifier[J].ETRI J,2001,23(2):61-70.
  • 5Abhyankar A,Hornak L,Schuckers S.Bi-orthogonal wavelet based iris reeognition[C] //SPIE,Defence and Security Symposium,2005,5779:59-67.
  • 6Masek L.Recognition of human iris patterns for biometric identification[D/OL].The University of Western Australia,2003.http://www.esse.uwa.edu.au/-pk/studentprojects/libor/.
  • 7Elsherief S M,Allam M E,Fakhr M W.Biometrie personal identification based on iris recognition[C] //Computer Engineering and Systems,2006:208-213.
  • 8王蕴红,朱勇,谭铁牛.基于虹膜识别的身份鉴别[J].自动化学报,2002,28(1):1-10. 被引量：259

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吉林大学学报（理学版）
2007年 第1期

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