Offline handwritten Chinese character recognition via radical extraction and recognition

Wilson W S Ip, Fu Lai Korris Chung, Daniel S. Yeung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)

Abstract

Despite the facts that Chinese characters are composed of radicals and Chinese usually formulate their knowledge of Chinese characters as a combination of radicals, very few studies have focused on a character decomposition approach to recognition, i.e., recognizing a character by first extracting and recognizing its radicals. In this paper, such an approach is adopted and the problem of how to extract radical sub-images from character images is particularly addressed. A radical extraction algorithm based on deformable templates (DTs) has been developed. The advantage of the character decomposition approach is demonstrated by feeding the extracted radical images to an adopted structural based Chinese character recognizer whose outputs are then combined to produce the class label of the input character. Simulation results show that the performance of the adopted Chinese character recognition system can be improved significantly when character decomposition approach is used.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Document Analysis and Recognition, ICDAR
PublisherIEEE
Pages185-189
Number of pages5
Publication statusPublished - 1 Jan 1997
EventProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR'97. Part 1 (of 2) - Ulm, Germany
Duration: 18 Aug 199720 Aug 1997

Conference

ConferenceProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR'97. Part 1 (of 2)
CountryGermany
CityUlm
Period18/08/9720/08/97

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this