Neocognitron and the Map Transformation Cascade
Neural Networks
Applications of self-organization networks spatially isomorphic to patterns
Information Sciences: an International Journal
Detecting a target object using an expanded neocognitron
Mathematical and Computer Modelling: An International Journal
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A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant visual pattern recognition, is discussed. The neocognition was developed by Fukushima (1980). The system has been trained to recognize 35 handwritten alphanumeric characters. The ability to recognize deformed characters correctly depends strongly on the choice of the training pattern set. Some techniques for selecting training patterns useful for deformation-invariant recognition of a large number of characters are suggested