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
    Period1992/12/161992/12/17

    ASJC Scopus subject areas

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

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