title: Convolution-kernel-based optimal trade-off filters for optical pattern recognition.
abstract: An architecture for the implementation of optical pattern recognition is proposed that makes use of convolution-kernel-based optimal trade-off filters to allow for an increased speed of operation and filter storage capability. The derivation of these new convolution-kernel-based optimal trade-off filters is presented, and their noise robustness and discrimination capabilities are discussed.
authors.forename: A
authors.initials: A
authors.lastname: Grunnet-Jepsen
authors.forename: S
authors.initials: S
authors.lastname: Tonda
authors.forename: V
authors.initials: V
authors.lastname: Laude