Skip to Main content Skip to Navigation
Conference papers

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

Ma Long-Long 1 Adrien Delaye 2 Cheng-Lin Liu 1
2 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download
Contributor : Adrien Delaye Connect in order to contact the contributor
Submitted on : Tuesday, February 22, 2011 - 2:28:23 PM
Last modification on : Thursday, January 7, 2021 - 4:13:53 PM
Long-term archiving on: : Monday, May 23, 2011 - 2:23:28 AM


Publisher files allowed on an open archive


  • HAL Id : inria-00540548, version 1


Ma Long-Long, Adrien Delaye, Cheng-Lin Liu. Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition. International Conference on Frontiers in Handwriting Recognition, IAPR, Nov 2010, Kolkata, India. ⟨inria-00540548⟩



Record views


Files downloads