Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21320
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorWong, WH-
dc.creatorSiu, WC-
dc.creatorLam, KM-
dc.date.accessioned2014-12-19T06:55:18Z-
dc.date.available2014-12-19T06:55:18Z-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10397/21320-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEuclidean classificationen_US
dc.subjectMoment invariantsen_US
dc.subjectWeighting factoren_US
dc.titleGeneration of moment invariants and their uses for character recognitionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage115-
dc.identifier.epage123-
dc.identifier.volume16-
dc.identifier.issue2-
dc.identifier.doi10.1016/0167-8655(94)00089-L-
dcterms.abstractAn 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%.-
dcterms.bibliographicCitationPattern recognition letters, 1995, v. 16, no. 2, p. 115-123-
dcterms.isPartOfPattern recognition letters-
dcterms.issued1995-
dc.identifier.isiWOS:A1995QH31300001-
dc.identifier.scopus2-s2.0-0029247391-
dc.identifier.eissn1872-7344-
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