Abstract
By choosing stroke and sub-stroke as basic components to analyse the composition regularities and deformation regularities of handwritten Chinese character, two models are presented for representing the structure for handwritten Chinese character recognition; the sub-stroke center model and the stroke relation matrix model, as the classifying criteria and methods based on models. According to the proposed models, a two-stage Chinese character recognition system is developed, that applies the sub-stroke center model in the first-stage and stroke relation matrix model in the second-stage. Experimental results show the feasibility and effectiveness of the proposed models.
Original language | English |
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Pages (from-to) | 322-326 |
Number of pages | 5 |
Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
Volume | 23 |
Issue number | 3 |
Publication status | Published - Jun 2003 |
Keywords
- Handwritten Chinese character recognition
- Stroke relation matrix
- Structural model
- Sub-stroke center