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.


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    Titel :

    Hierarchical neural network for recognizing hand-written characters in engineering drawings


    Beteiligte:
    Hui Su (Autor:in) / Wei Wang (Autor:in) / Xinyou Li (Autor:in) / Shaowei Xia (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    337374 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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