An Improved Pre-classification Method for Off- line Handwritten Chinese Character Using Four Corner Feature
نویسندگان
چکیده
Pre-classification can effectively improve the performance of handwritten Chinese character recognition. This paper presents a method that uses four corner feature for pre-classification of handwritten Chinese characters. Considering writing variations, we define a set of basic stroke structures and match them with the structures in four corner regions of character image. The matching result will be four feature codes that can be used for character pre-classification. The experiment on 500 Chinese characters from GB2312 shows that our approach can achieve a satisfied result in pre-classification for handwritten Chinese characters.
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