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 Apr

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, 04.1994, p. 1910-1913.

Research output: Contribution to journalArticle

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