Trainable pattern classifier using a computer-generated hologram

Ken-Yuh Hsu, Chau Jern Cheng

Research output: Contribution to journalArticlepeer-review

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
StatePublished - 1 Jan 1994

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