Name
Title | ||
|---|---|---|
Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition |
Abstract | ||
|---|---|---|
The hierarchical nature of Chinese characters has inspired radical-based recognition, but radical segmentation from characters remains a challenge. We previously proposed a radical-based approach for on-line handwritten Chinese character recognition, which incorporates character structure knowledge into integrated radical segmentation and recognition, and performs well on characters of left-right and up-down structures (non-special structures). In this paper, we propose a statistical-classification-based method for detecting special radicals from special-structure characters. We design 19 binary classifiers for classifying candidate radicals (groups of strokes) hypothesized from the input character. Characters with special radicals detected are recognized using special-structure models, while those without special radicals are recognized using the models for non-special structures. We applied the recognition framework to 6,763 character classes, and achieved promising recognition performance in experiments. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICFHR.2010.83 | ICFHR |
Keywords | Field | DocType |
chinese character,special radical detection,non-special structure,special radical,radical-based recognition,statistical classification,input character,on-line handwritten chinese character,promising recognition performance,character structure knowledge,recognition framework,character class,image segmentation,binary classifier,image classification,support vector machines,handwriting recognition,statistical analysis,chinese,feature extraction,shape,natural language processing,hidden markov models | Computer science,Handwriting recognition,Artificial intelligence,Contextual image classification,Character structure,Intelligent word recognition,Chinese characters,Pattern recognition,Intelligent character recognition,Feature extraction,Speech recognition,Statistical classification,Machine learning | Conference |
Citations | PageRank | References |
2 | 0.36 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Long-long Ma | 1 | 26 | 5.72 |
| Adrien Delaye | 2 | 109 | 6.98 |
| Cheng-Lin Liu | 3 | 4367 | 239.75 |