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一种基于PCNN的指纹特征提取算法 被引量:1

Based on the feature extraction algorithm PCNN fingerprints
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摘要 具有生物背景的脉冲耦合神经网络具有自适应提取指纹特征的特性,基于此,首次提出了一种指纹图像特征提取的新方法——自适应耦合神经网络点火统计图的,此图不仅包含了指纹图像的灰度特征,还包含相邻像素之间的几何位置信息。此方法具有运算速度快及对旋转、平移、尺度不变性,是许多指纹特征提取算法不具备的优点。最后给出了部分实验的结果,以验证该方法的有效性. Pulse coupled neural network (PCNN) which has biology backgrand is characterized with adaptive image separation and image feature extraction. In view of this thought, a new method of feature extraction of fingerprint named PCNN adaptive firing series statistical image is proposed in th is paper for the first time, it is pointed out that this image contains not only information about the gray feature of fingerprint, but also geometry information between adjacent pixels, which is more important and just the individual characteristics of the fingerprint which is type texture image.This method consists of segment and feature extraction has advantages of operate fast and invariability in the face of rotation, level move which many other methods of feature extraction of fingerprint have not. Finally the the effectiveness of the method is well verified by a large number of experiments showed some in this paper.
出处 《自动化与仪器仪表》 2011年第5期134-135,137,共3页 Automation & Instrumentation
关键词 脉冲耦合神经网络 神经元点火统计图 耦合特性 指纹特征提取 Pulse coupled neural network (PCNN) PCNN adaptive firing series statistical image Coupling Fingerprint feature
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参考文献10

  • 1容观澳.计算机图像处理[M].北京:清华大学出版社,2000..
  • 2顾晓东,余道衡,郭仕德.关于PCNN应用于图像处理的研究[J].电讯技术,2003,43(3):21-24. 被引量:15
  • 3Eckhorn R, Reitboeck H J, Arndt Met al. Feature linking via synchronization among distributed assemblies: Simu- lation of results from cat cortex[J]. Neural Comput, 1990,2(3):293-307.
  • 4Eckhorn R, Frien A, Bauer R et al. High frequency oscillations in primary visual cortex of awake monkey [J]. NeuroRep.,1993,4(3):243-246.
  • 5John J L, Ritter D. Observation of periodic waves in a Pulse-coupled neural network[J]. Opt. Lett., 1993,18 (15):1253-1255.
  • 6Ranganath H S, Kuntimad G, and Johnson J L. Pulse coupled neural networks for image prooessing[A]. In: Proc. 1995 IEEE Southeast Con. [C], Raleigh NC, 1995,37-43.
  • 7Johnson J L, Ranganath H, Kuntimad Get al .Pulse coupled neural networks[J]. In: Omidvar 0 and Dayhoff J, Ed. Neural Networks and Pattern Recognition[C]. San Diego, CA: Academicpp, 1998,1-56.
  • 8KUNTMAD G, RANGANATH H S. Perfect image segmentation using pulse coupled neural networks[J]. IEEE Trans. Neural Networks, 1999,10(3):591-598.
  • 9石美红,张军英.一种新的纹理图像特征提取的方法[J].纺织高校基础科学学报,2002,15(3):189-194. 被引量:3
  • 10宁晓菊.一种基于神经网络提取图像特征的图像检索方法[J].西安邮电学院学报,2006,11(3):88-91. 被引量:4

二级参考文献14

  • 1容观澳.计算机图像处理[M].清华大学出版社,2000.269-288.
  • 2R Eckhom, H J Reitboeck, M Arndt, et al. Feature linking via synchronization among distributed assemblies: Simulation of results from cat cortex[J]. Neural Computation., 1990,2(3) : 293 - 307.
  • 3J L Johnson, M L Padgett.PCNN models and applications[J].IEEE Trans.on Neural Networks,1999,10(3):480-498
  • 4G Kuntimad, H S Ranganath. Perfect image segmentation using pulse coupled neural networks[J]. IEEE Trans. on Neural Networks, 1999,10(3) : 591 ~ 598.
  • 5H Jcaufield, J M Kinser.Finding shortest path in the shortest time using PCNN's[J]. IEEE Trans.on Neural Networks,1999,10(3) :604 ~ 606.
  • 6J L John, D Ritter. Observation of periodic waves in a pulse- coupled neural network[J]. Opt. Lett, 1993, 18(15):1253-1255.
  • 7Johnson,J.L.Pulse-Coupled Neural Nets:Translation,Rotation,Scale,Distortion and Intensity Signal Invariance for Images.IEEE Trans on AP.1994,33(26):6239-6253.
  • 8J.L.Johnson,M.L.Padgett.PCNN Models and Applications.IEEE Trans on Neural Networks,1999,10(3):480-498.
  • 9G.Kuntimad and H.S.Ranganath.Perfect Image Segmentation Using Pulse Coupled Neural NetWorks,IEEE Trans on Neural Networks.1999,10(3):591-598.
  • 10刘忠伟,章毓晋.利用局部累加直方图进行彩色图象检索[J].中国图象图形学报(A辑),1998,3(7):533-537. 被引量:59

共引文献114

同被引文献8

  • 1Johnson J L, Padgett M L. PCNN Models and Applications [J]. IEEE Transactions on Neural Networks, 1999, 10 (3) :480-496.
  • 2Kuntimad G, Rangnath H S. Perfect Image Segmentation Using Pulse Coupled Neural Networks [ J ]. IEEE Trans on Neural Network s, 1999,10 (3) :591 - 598.
  • 3Eckhorn R, Reitboeck H J, Arndtetal M. Feature linking viasynch ronization among distributed assemblies: Simu- lation of results from acortex [ J ]. Neural Computation, 1990,2(3) :293 -307.
  • 4Lindblad T, Kinser J M. Image Processing Using Pulse -Coupled Neural Networks [ M ]. New York: Springer,2005.
  • 5Yang Cheg, Gu Xiaodong. Combining PCNN with color distribution entropy and vector gradient in feature extrac- tion[ C]. 2012 8th International Conference on Natural Computation( ICNC 2012) ,2012:207 - 211.
  • 6Gu Xiaodong, Guo Shide, Yu Daoheng. A New Approach for Automated Image Segmentation Based on Unit -link- ing PCNN [ C ]. International Conference on Machine Learning and Cybernetics,2002,1 ( 1 ) : 175 - 178.
  • 7Hsien - Che Lee, David R. Cok. Detecting Boundaries in a Vector Field [ J ]. IEEE Transactions on Signal Process- ing,1991,39(5) :1181 - 1194.
  • 8刘丽,匡纲要.图像纹理特征提取方法综述[J].中国图象图形学报,2009,14(4):622-635. 被引量:447

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