Trainable pattern classifier using a computer-generated hologram

Ken Yuh, Chau-Jern Cheng

    Research output: Contribution to journal › Article

    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 journal › Article

    Yuh, K & Cheng, C-J 1994, 'Trainable pattern classifier using a computer-generated hologram', Japanese Journal of Applied Physics, vol. 33, no. 4R, pp. 1910-1913. https://doi.org/10.1143/JJAP.33.1910
    Yuh K, Cheng C-J. Trainable pattern classifier using a computer-generated hologram. Japanese Journal of Applied Physics. 1994 Jan 1;33(4R):1910-1913. https://doi.org/10.1143/JJAP.33.1910
    Yuh, Ken ; Cheng, Chau-Jern. / Trainable pattern classifier using a computer-generated hologram. In: Japanese Journal of Applied Physics. 1994 ; Vol. 33, No. 4R. pp. 1910-1913.
    @article{489919965e71463fac2f44c6e69da992,
    title = "Trainable pattern classifier using a computer-generated hologram",
    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.",
    author = "Ken Yuh and Chau-Jern Cheng",
    year = "1994",
    month = "1",
    day = "1",
    doi = "10.1143/JJAP.33.1910",
    language = "English",
    volume = "33",
    pages = "1910--1913",
    journal = "Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes",
    issn = "0021-4922",
    publisher = "Japan Society of Applied Physics",
    number = "4R",

    }

    TY - JOUR

    T1 - Trainable pattern classifier using a computer-generated hologram

    AU - Yuh, Ken

    AU - Cheng, Chau-Jern

    PY - 1994/1/1

    Y1 - 1994/1/1

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=0028422293&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=0028422293&partnerID=8YFLogxK

    U2 - 10.1143/JJAP.33.1910

    DO - 10.1143/JJAP.33.1910

    M3 - Article

    AN - SCOPUS:0028422293

    VL - 33

    SP - 1910

    EP - 1913

    JO - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes

    JF - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes

    SN - 0021-4922

    IS - 4R

    ER -

    Access to Document