Artificial Neural Networks for Document Analysis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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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.