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- W1479734564 abstract "Some techniques have been reported for Chinese off-line handwriting-based writer identification and signature verification. Some of them assume that the written text is fixed, and others presented don't need the presupposition since they identify the writer of a piece of handwriting text from the global style. But most of them are not used in practical application and have some disadvantages, which cannot be solved well now. We present a system integrating an expert system and a neural network to identify the writer of Chinese handwritten text. Designed for a practical application of writer identification, this system can perform as well as a human expert and exhibit characteristics of a traditional symbolic expert system with high accuracy." @default.
- W1479734564 created "2016-06-24" @default.
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- W1479734564 date "2003-06-26" @default.
- W1479734564 modified "2023-09-24" @default.
- W1479734564 title "A neural network expert system for Chinese handwriting-based writer identification" @default.
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- W1479734564 doi "https://doi.org/10.1109/icmlc.2002.1175428" @default.
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