Handwritten Chinese character segmentation using a two-stage approach

Shuyan Zhao, Zheru Chi, Pengfei Shi, Qing Wang

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

17 Citations (Scopus)

Abstract

Correct segmentation of handwritten Chinese characters is crucial to the successful recognition. However, because of many difficulties involved, little work has been done in this area. In this paper, a two-stage approach is addressed to segment unconstrained handwritten Chinese character strings. A string is first coarsely segmented according to the background skeleton and vertical projection after a proper image preprocessing. At the fine segmentation stage that follows, the strokes that may contain segmentation points are first identified. The feature points are then extracted from candidate strokes and taken as segmentation point candidates through each of which a segmentation path may be formed. Geometric features are extracted and fuzzy decision rules learned from examples are used to evaluate the segmentation paths. By using this two-stage segmentation approach, we can achieve both good performance and efficiency in segmenting unconstrained handwritten Chinese characters.
Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
PublisherIEEE Computer Society
Pages179-183
Number of pages5
Volume2001-January
ISBN (Electronic)0769512631
DOIs
Publication statusPublished - 1 Jan 2001
Event6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States
Duration: 10 Sep 200113 Sep 2001

Conference

Conference6th International Conference on Document Analysis and Recognition, ICDAR 2001
CountryUnited States
CitySeattle
Period10/09/0113/09/01

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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