Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition

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 online 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 specialstructure 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 perfor...

• Type: Journal
• Year: 2010
• Where: ICFHR
• Authors: Long-Long Ma, Adrien Delaye, Cheng-Lin Liu
• Keywords: Biometrics, Chinese Character, ICFHR 2010, Radical Segmentation, Special Radicals