Learning-based image recognition by a thin photorefractive crystal plate

Chau Jern Cheng, Shiuan Huei Lin, Tai Chung Hsieh, L. J. Hu, T. S. Yeh, S. P. Lin, C. H. Lin, S. L. Tu, Sheng Jenn Yang

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

1 Citation (Scopus)

Abstract

A learning-based image recognition system using a thin photorefractive crystal plate is presented and demonstrated. The matched filter is synthesized by the modified perceptron learning network and is recorded in a 100 μm thick LiNbO3 crystal plate. The system performs a shift-invariant correlation for image recognition.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages76-85
Number of pages10
ISBN (Print)0819410128
Publication statusPublished - 1993 Jan 1
EventOptical Computing and Neural Networks - Hsinchu, Taiwan
Duration: 1992 Dec 161992 Dec 17

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1812
ISSN (Print)0277-786X

Other

OtherOptical Computing and Neural Networks
CityHsinchu, Taiwan
Period92/12/1692/12/17

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ASJC Scopus subject areas

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

Cite this

Cheng, C. J., Lin, S. H., Hsieh, T. C., Hu, L. J., Yeh, T. S., Lin, S. P., Lin, C. H., Tu, S. L., & Yang, S. J. (1993). Learning-based image recognition by a thin photorefractive crystal plate. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 76-85). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1812). Publ by Int Soc for Optical Engineering.