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Research on Algorithms of Gabor Wavelet Neural Network Based on Parallel Structure

  • Tingfa Xu
  • Zefeng Nie
  • Jianmin Yao
  • Guoqiang Ni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4088)

Abstract

Aiming at image target recognition, a novel algorithm of Gabor wavelet neural network based on parallel structure is proposed in this paper, and the system of neural network for multi-target recognition is designed. Based on the characteristics of multi-CPU parallel structure and the parallel property of neural network, the algorithm of Gabor wavelet neural network is proved theoretically. The relevant algorithm structure is designed; the training and recognizing algorithms for image target recognition are given out. Finally, the simulation experiment for 4 types of plane targets indicated that recognition rate reached 98%+, recognizing time was 40ms.

Keywords

Hide Layer Parallel Structure Target Recognition Gabor Wavelet Neural Network Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tingfa Xu
    • 1
  • Zefeng Nie
    • 1
  • Jianmin Yao
    • 1
  • Guoqiang Ni
    • 1
  1. 1.School of Information Science and Technology, Laboratory of Photoelectric Imaging and Information EngineeringBeijing Institute of TechnologyBeijingChina

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