Improved Algorithm of Fork Point Optimization for Offline Handwritten Chinese Character

Sili Li · Jisuanji gongcheng · 2006

This paper proposes a new optimal algorithm of fork points in off-line handwritten Chinese character. The algorithm is processed aftergetting feature points by using Retoviz’ definition of crossing number. This algorithm improves maximum circle criterion, reduces further error rateof grouping fork point. Hence, improve the correct rate of off-line handwritten Chinese character recognition.

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