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2005
IEEE

A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming

9 years 5 months ago
A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming
In this paper, an online handwritten Chinese character segmentation method is proposed. It is based on a dynamic programming algorithm, which uses geometrical features extracted from the handwritten strokes. The algorithm is carried out in two stages: pre-segmentation and recognition-based segmentation. The experimental results on 2363 sentences, representing nearly 70,000 characters and more than 370,000 strokes, show that the presegmentation stage keeps incorrect segmentation rate below 1% with an over-segmentation rate limited to 11%. The final correct segmentation rate is about 88%, without using any language model, indicating the effectiveness of proposed approach.
Xue Gao, Pierre Michel Lallican, Christian Viard-G
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Xue Gao, Pierre Michel Lallican, Christian Viard-Gaudin
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