On-Line Handwritten Chinese Character Recognition Based on Nested Segmentation of Radicals
Authors:
- Long-Long MaLMLong-Long Ma
- Cheng-Lin LiuCLCheng-Lin Liu
- 1 November 2009
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Abstract
This paper presents a radical-based on-line handwritten Chinese character recognition method, which integrates appearance-based radical recognition and geometric context into a principled framework using a character-radical dictionary to guide radical segmentation and recognition during path search. To solve the connection between radicals, we detect corner points to extract sub-strokes. Based on the hierarchical structure, the character pattern is over-segmented by three-layer nested pre-segmentation. For recognition, we use two dictionary representation schemes and accordingly different search algorithms. We have implemented the approach to Chinese characters of left-right and up-down structures. Experimental results on a sample set of 5,773 character classes consisting of 1,149 radicals demonstrate the effectiveness of our approach.Keywords
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