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- W2117467490 abstract "This paper presents new methods of stroke extraction directly from a handprinted Chinese character dot matrix, and Chinese character classification according to its structural relation based on stroke features, as well as the construction of a recognition dictionary in handprinted Chinese character recognition. These methods are characterized by a simple algorithm, powerful classification, fast recognition and easy dictionary maintenance. Based on these methods, a full-page handprinted Chinese characters recognition system has been made with better than a 93.1% recognition accuracy for all the commonly used 3755 Chinese characters (first class)." @default.
- W2117467490 created "2016-06-24" @default.
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- W2117467490 date "2002-12-24" @default.
- W2117467490 modified "2023-09-23" @default.
- W2117467490 title "Research on the method of handprinted Chinese character recognition" @default.
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- W2117467490 doi "https://doi.org/10.1109/icsigp.1996.566552" @default.
- W2117467490 hasPublicationYear "2002" @default.
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