title: Optical iconic filters for large class recognition.
abstract: Approaches are advanced for pattern recognition when a large number of classes must be identified. Multilevel encoded multiple-iconic filters are considered for this problem. Hierarchical arrangements of iconic filters and/or preprocessing stages are described. A theoretical basis for the sidelobe level and noise effects of filters designed for large class problems is advanced. Experimental data are provided for an optical character recognition case study.
authors.forename: D
authors.initials: D
authors.lastname: Casasent
authors.forename: A
authors.initials: A
authors.lastname: Mahalamobis