J4 ›› 2008, Vol. 43 ›› Issue (5): 39-44 .doi:

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Sub-stroke extraction research on the off-line hand-written recognition of Chinese characters

JIN Tian-fei1,2   

  1. 1. College of Computer Science & Technology, Shandong University, Jinan 250061, Shandong, China; 2. College of Computer Science & Technology, Shandong Jianzhu University, Jinan 250101, Shandong, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: JIN Tian-fei

Abstract:

Based on the present realizing method of thinning and feature point extraction, an improved thinning algorithm based on groups and a far inflection-point method was proposed. The method of the improved thinning algorithm can mark the type of branch points in the character images, which is based on group numbers in the thinning process. This method can prepare for sequential sub-stroke extraction. The far inflection-point can provide the method, which could quickly extract a Chinese character inflection-point. Experimental results show that these proposed algorithms can fairly well extract sub-strokes, and the feature point extraction accuracy is 98.6%.

Key words: off-line handwritten recognition of Chinese character; thinning; feature point extraction; sub-stroke extraction

CLC Number: 

  • TP391.43
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