Abstract

An optical neural network model and a key device for its optical implementation are proposed. The model, named the vector-feature-extracting optical neural network, can correctly recognize hand-written letters and can easily be implemented in optics. The key device, named a feature-extracting optical neuron device, can selectively extract specific line segments included in an optical input pattern. In this paper the structure and recognition process of the vector-feature-extracting optical neural network are shown in detail. The function of the feature-extracting optical neuron device is experimentally shown. In addition, the optical system based on the vector-feature-extracting optical neural network is described.

© 1993 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Character recognition using a dynamic optoelectronic neural network with unipolar binary weights

Masaya Oita, Masanobu Takahashi, Shuichi Tai, and Kazuo Kyuma
Opt. Lett. 15(21) 1227-1229 (1990)

64-channel correlator implementing a Kohonen-like neural network for handwritten-digit recognition

M. Barge, K. Heggarty, Y. Idan, and R. Chevallier
Appl. Opt. 35(23) 4655-4665 (1996)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (12)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (24)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription