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基于相位相关的指纹序列图像配准新算法 被引量:2

A Novel Algorithm of Fingerprint-Sequence-Image Registration Based on Phase Correlation
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摘要 根据手指滑动的连续性,综合运用基于相位相关与灰度相关的算法,采用自适应调节大小的匹配模块,把两幅图像配准问题转变成两个模块配准问题,有效解决了重叠率低的难题.测试结果表明:新算法简便实用,可应用在基于DSP的便携式指纹识别系统中. Based on the continuity of finger movement,by means of the comprehensive algorithm of phase correlation and gray correlation,using the matching modules of self-adaptive size,the problem of registering two images was turned into the problem of registering two modules,and the difficulty was overcome effectively.It was proved on the basis of the test results that the novel algorithm was simple and practical,and could be applied to the portable fingerprint authentication system based on DSP.
作者 翁阳 程明
出处 《郑州大学学报(理学版)》 CAS 北大核心 2012年第4期63-67,共5页 Journal of Zhengzhou University:Natural Science Edition
关键词 指纹识别 滑动式指纹传感器 图像配准 模块匹配 相位相关 fingerprint authentication fingerprint swipe sensor image registration module matching phase correlation
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  • 1Maltoni D, Maio D, Jain A K, et al. Handbook of 5ingerprint recognition [M]. New York: Springer, 2003.
  • 2Reddy B S, Chatterji B H. An FFT based technique for translation, rotation, and scale invariant image registration [J].IEEE Transactions on Image Processing, 1996, 5(8): 1266-1271.
  • 3Foroosh H, Zerubia J B, Berthod M. Extension of phase correlation to subpixel registration [J]. IEEE Transactions on Image Processing, 2002, 11(3): 188-200.
  • 4上海交通大学.扩展相位相关的滑动指纹序列无缝拼接方法:中国,200510026196.2[P].2005-11-09.
  • 5北京飞天诚信科技有限公司.指纹图像片段的拼接方法:中国,200610001619.X[P].2006-07-19.
  • 6中国科学院自动化研究所.基于运动估计的扫描指纹图像重构方法:中国,200510012049.X[P].2007-01-03.
  • 7Hong L, Wan Y F, Jain A. Fingerprint image enhancement: algorithm and performance evaluation [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20 (8):777-789.
  • 8[1]Brown L G.A survey of image registration technique[J].ACM Computing Surveys,1992,24(4):326-376.
  • 9[2]Zitova B,Flusser J.Image registration methods:a survey[J].Image and Vision Computing,2003,21(11):977-1000.
  • 10[3]Kuglin C D,Hines D C.The phase correlation image alignment method[C]//IEEE International Conference on Cybernetics and Society.New York,USA:[s.n.],1975:163-165.

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  • 1Aleksic P S,Katsaggelos A K. Automatic Facial Expression Recognition Using Facial Animation Parameters and Multistream Hmms[J].IEEE Transactions on Information Forensics and Security,2006,(01):3-11.
  • 2Bartlett M,Littlewort G,Frank M. Recognizing Facial Expression:Machine Learning and Application to Spotaneous Behavior[J].IEEE Conference on Computer Vision and Pattern Recognition,2011,(01):568-573.
  • 3Besinger A,Sztynda T,Lal S. Optical Flow Based Analyses to Detect Emotion from Human Facial Image Data[J].{H}Expert systems with application,2010,(07):8897-8902.
  • 4Liao S,Fan W,Chung C S. Facial Expression Recognition Using Advanced Local Binary Patterns[A].2006.665-668.
  • 5Cheng F,Yu J,Xiong H. Facial Expression Recognition in Jaffe Dataset Based on Gaussian Process Classification[J].{H}IEEE Transactions on Neural Networks,2011,(10):1685-1690.
  • 6Cohen I,Sebe N,Garg A. Facial Expression Recognition from Video Sequences:Temporal and Static Modeling[J].{H}COMPUTER VISION AND IMAGE UNDERSTANDING,2003,(01):160-187.
  • 7Geetha A,Ramalingam V,Palanivel S. Facial Expression Recognition a Real Time Approach[J].{H}Expert systems with application,2013,(02):303-308.
  • 8Duan H,Xu C F,Xing Z H. A Hybrid Artificial Bee Colony Optimization and Quantum Evolutionary Algorithm for Continuous Optimization Problems[J].{H}International Journal of Neural Systems,2010,(01):39-50.
  • 9Koutlas A,Fotiadis D. An Automatic Region Based Methodology for Facial Expression Recognition[A].2008.662-666.
  • 10Liu W,Wang Z. Facial Expression Recognition Based on Fusion of Multiple Gabor Features[A].2006.36-539.

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