Two-dimensional invariant pattern recognition using a back-propagation network improved by distributed associative memory

Jau Ling Shih, Pau-Choo Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A system combining the BackPropagation Network (BPN) and the Distributed Associative Memory (DAM) for 2D pattern recognition is proposed. In the system, a sequence of image processes and transformations, including complex transform, Laplacian, and Fourier transform are used for invariant feature extraction. Two modified neural networks are proposed for pattern recognition: (1) the DAM combined with BPN, and (2) the BPN improved by DAM. In the DAM combined with BPN, a fine training is provided by the BPN to take the pattern variations within each class into the training procedure. Experimental results indicate that this improved DAM has higher recognition rates compared to a traditional DAM. In the BPN improved by DAM, the weights of the first layer used the memory matrix of DAM as initial values. This network is compared with the BPN. Experimental results show that this network not only has slightly higher recognition rate, but also requires less training time than a BPN. Finally, the system is also tested with noisy patterns. According to the experiments results, it is found that the system also has high recognition rate even on the noisy images.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages140-147
Number of pages8
Edition1/-
ISBN (Print)0891418587
Publication statusPublished - 1995 Jan 1
EventVisual Communications and Image Processing '95 - Taipei, Taiwan
Duration: 1995 May 241995 May 26

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Number1/-
Volume2501
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '95
CityTaipei, Taiwan
Period95-05-2495-05-26

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Shih, J. L., & Chung, P-C. (1995). Two-dimensional invariant pattern recognition using a back-propagation network improved by distributed associative memory. In Proceedings of SPIE - The International Society for Optical Engineering (1/- ed., pp. 140-147). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2501 , No. 1/-). Society of Photo-Optical Instrumentation Engineers.