CONVOLUTION-KERNEL-BASED OPTIMAL TRADE-OFF FILTERS FOR OPTICAL-PATTERN RECOGNITION

Authors
GRUNNETJEPSEN A TONDA S LAUDE V
Citation
A. Grunnetjepsen et al., CONVOLUTION-KERNEL-BASED OPTIMAL TRADE-OFF FILTERS FOR OPTICAL-PATTERN RECOGNITION, Applied optics, 35(20), 1996, pp. 3874-3879
Citations number
13
Categorie Soggetti
Optics
Journal title
Applied optics → ACNP
ISSN journal
00036935
Volume
35
Issue
20
Year of publication
1996
Pages
3874 - 3879
Database
ISI
SICI code
0003-6935(1996)35:20<3874:COTFFO>2.0.ZU;2-P
Abstract
An architecture for the implementation of optical pattern recognition is proposed that makes use of convolution-kernel-based optimal trade-o ff filters to allow for an increased speed of operation and filter sto rage capability. The derivation of these new convolution-kernel-based optimal trade-off filters is presented, and their noise robustness and discrimination capabilities are discussed. (C) 1996 Optical Society o f America