The similarity degree of hand-written characters in engineering drawings is analyzed. On the basis of the results, a hierarchical neural network is proposed for recognizing hand-written characters in engineering drawings. In a hierarchical neural network the memorizing and recognizing procedure is distributed into several subnetworks. Experimental results are also given.
Hierarchical neural network for recognizing hand-written characters in engineering drawings
1995-01-01
337374 byte
Conference paper
Electronic Resource
English
Hierarchical Neural Network for Recognizing Hand-Written Characters in Engineering Drawings
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