Fuzzy ring data for invariant handwritten Chinese character recognition

Din Chang Tseng, Hung Pin Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

An invariant handwritten Chinese character recognition system is proposed. Characters can be in arbitrary location, scale, and orientation. Five invariant features are employed in this study. The first four features are used for preclassification to reduce matching time. The last feature, ring data, constructs ring-data vectors to characterize character samples and constructs weighted ring-data matrices to characterize characters to further reduce matching time. Fuzzy membership functions are defined based on these two characteristics to match characters.

Original languageEnglish
Title of host publicationTrack C
Subtitle of host publicationApplications and Robotic Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages94-98
Number of pages5
ISBN (Print)081867282X, 9780818672828
DOIs
StatePublished - 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 25 Aug 199629 Aug 1996

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Conference

Conference13th International Conference on Pattern Recognition, ICPR 1996
Country/TerritoryAustria
CityVienna
Period25/08/9629/08/96

Keywords

  • fuzzy theory
  • handwritten Chinese character recognition
  • invariant
  • ring data

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