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- W2374779765 abstract "This paper proposes a scheme for handwritten Chinese character recognition (HCCR), which is made up of pre-classifiers and model integrated, and both use neural networks. Experiments show that the proposed scheme can classify large number of catalogs well. For example, testing 1 000×10 characters, the maximal recognition rate is 95.22%, 5.0%-8.7% higher than that of advisual classifer." @default.
- W2374779765 created "2016-06-24" @default.
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- W2374779765 date "2004-01-01" @default.
- W2374779765 modified "2023-09-28" @default.
- W2374779765 title "A Neural Networks Multi-classifers Integrated Scheme Based on OCON for Handwritten Chinese Character Recognition" @default.
- W2374779765 hasPublicationYear "2004" @default.
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