Automatic generation of moment invariants and the use of higher order moments for character recognition

Wai Hong Wong, Wan Chi Siu, Kin Man Lam

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

Abstract

In this paper, 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, we have made use of the generated set of moment invariants, which include higher order moments, for the recognition of English alphabets. In this paper 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
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages559-562
Number of pages4
Volume1
ISBN (Print)0780312813
Publication statusPublished - 1 Jan 1993
Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, United States
Duration: 3 May 19936 May 1993

Conference

Conference1993 IEEE International Symposium on Circuits and Systems
CountryUnited States
CityChicago, IL
Period3/05/936/05/93

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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