A. Grunnetjepsen et al., CONVOLUTION-KERNEL-BASED OPTIMAL TRADE-OFF FILTERS FOR OPTICAL-PATTERN RECOGNITION, Applied optics, 35(20), 1996, pp. 3874-3879
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