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

*Corresponding author for this work

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

1 Scopus citations

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
Pages76-82
Number of pages7
ISBN (Print)0819410128
DOIs
StatePublished - 1 Jan 1993
EventOptical Computing and Neural Networks - Hsinchu, Taiwan
Duration: 16 Dec 199217 Dec 1992

Publication series

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

Conference

ConferenceOptical Computing and Neural Networks
CityHsinchu, Taiwan
Period16/12/9217/12/92

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  • 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. 76-82). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1812). Publ by Int Soc for Optical Engineering. https://doi.org/10.1117/12.131201