Abstract

Projection-onto-constraint sets is an efficient algorithm for constructing synthetic discriminant functions to be employed in pattern-recognition systems. The algorithm is implemented by a digital procedure based on a simulated joint-transform correlator.

© 1991 Optical Society of America

Full Article  |  PDF Article
Related Articles
Learning in correlators based on projections onto constraint sets

Joseph Rosen
Opt. Lett. 18(14) 1183-1185 (1993)

Complex reference discriminant functions implemented iteratively on a joint transform correlator

Joseph Rosen, Uri Mahlab, and Joseph Shamir
Appl. Opt. 30(35) 5111-5115 (1991)

Optical pattern recognition using a synthetic discriminant amplitude-compensated matched filter

Z. Q. Wang, W. A. Gillespie, C. M. Cartwright, and C. Soutar
Appl. Opt. 32(2) 184-189 (1993)

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 (4)

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

Equations (6)

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