Fuzzy Segmentation for document images analysis

Chun Chung Chan, Xudong Huang, Paul Bao

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)


This paper describes a segmentation method called the Fuzzy Segmentation Method (FSM) for the analysis of document images. Based on the use of concepts in fuzzy set theory, we define fuzzy blank and fuzzy black lines and based on these definitions, we, in turn, define fuzzy blank and fuzzy black blocks. An efficient algorithm is proposed here for their identification. The ideas of λ-cut sets are utilized when determining the vertical and horizontal thresholds in the segmentation process. With the definition of fuzzy sets, such a process can be made automated in an adaptive process. When comparing to existing approaches, it is better able to correctly identify blocks in a document image.
Original languageEnglish
Pages (from-to)977-982
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1 Dec 1997
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, United States
Duration: 12 Oct 199715 Oct 1997

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering


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