Trainable pattern classifier using a computer-generated hologram

    Research output: Contribution to journalArticle

    Abstract

    A novel technique for pattern classification is proposed and demonstrated. The perceptron learning algorithm is used for training, and the trained interconnection weight matrix is transferred into a computer-generated hologram. The hologram is used as a correlation filter in the optical system for pattern classification. Both computer simulation and optical experiment results are presented.

    Original languageEnglish
    Pages (from-to)1910-1913
    Number of pages4
    JournalJapanese Journal of Applied Physics
    Volume33
    Issue number4R
    DOIs
    Publication statusPublished - 1994 Jan 1

    Fingerprint

    Holograms
    classifiers
    Pattern recognition
    Classifiers
    self organizing systems
    Optical systems
    Learning algorithms
    learning
    education
    computerized simulation
    Neural networks
    filters
    Computer simulation
    matrices
    Experiments

    ASJC Scopus subject areas

    • Engineering(all)
    • Physics and Astronomy(all)

    Cite this

    Trainable pattern classifier using a computer-generated hologram. / Yuh, Ken; Cheng, Chau-Jern.

    In: Japanese Journal of Applied Physics, Vol. 33, No. 4R, 01.01.1994, p. 1910-1913.

    Research output: Contribution to journalArticle

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