Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21320
DC FieldValueLanguage
dc.contributor.authorWong, WHen_US
dc.contributor.authorSiu, WCen_US
dc.contributor.authorLam, KMen_US
dc.date.accessioned2014-12-19T06:55:18Z-
dc.date.available2014-12-19T06:55:18Z-
dc.date.issued1995-
dc.identifier.citationPattern recognition letters, 1995, v. 16, no. 2, p. 115-123en_US
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10397/21320-
dc.description.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%.en_US
dc.description.sponsorshipDepartment of Electronic and Information Engineeringen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofPattern recognition lettersen_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-
dc.identifier.isiWOS:A1995QH31300001-
dc.identifier.scopus2-s2.0-0029247391-
dc.identifier.eissn1872-7344-
Appears in Collections:Journal/Magazine Article
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

SCOPUSTM   
Citations

63
Last Week
0
Last month
1
Citations as of Nov 30, 2019

WEB OF SCIENCETM
Citations

48
Last Week
0
Last month
0
Citations as of Dec 10, 2019

Page view(s)

132
Last Week
0
Last month
Citations as of Dec 11, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.