Generation of moment invariants and their uses for character recognition

Wai Hong Wong, Wan Chi Siu, Kin Man Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

65 Citations (Scopus)

Abstract

An automatic approach for the generation of moment invariants is presented. By making use of this approach a complete set of moment invariants is generated, many of which have never been reported in the literature. This approach will guarantee not to miss any possible expression that may be useful for pattern recognition. Consequently, the generated sets of moment invariants, including higher-order moments, have been used for the recognition of English alphabets. We also include the results of our study on selecting the best set of weighting factors for invariant moments, such that we have improved the recognition rates to over 98.8%.
Original languageEnglish
Pages (from-to)115-123
Number of pages9
JournalPattern Recognition Letters
Volume16
Issue number2
DOIs
Publication statusPublished - 1 Jan 1995

Keywords

  • Euclidean classification
  • Moment invariants
  • Weighting factor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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