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Article: Offline signature verification by the analysis of cursive strokes

TitleOffline signature verification by the analysis of cursive strokes
Authors
Fang, BWang, YYLeung, CHTse, KWTang, YYKwok, PCKWong, YK
KeywordsOffline system
Signature verification
Smoothness criterion
Stroke analysis
Issue Date2001
PublisherWorld Scientific Publishing Co Pte Ltd. The Journal's web site is located at http://www.worldscinet.com/ijprai/ijprai.shtml
Citation
International Journal Of Pattern Recognition And Artificial Intelligence, 2001, v. 15 n. 4, p. 659-673 How to Cite?
DOI: http://dx.doi.org/10.1142/S0218001401001052
AbstractIn this paper, a method is proposed for offline signature verification. It is based on a smoothness criterion. It is observed that the cursive segments of forgery signatures are generally less smooth and less natural than the genuine ones, especially for those signatures that consist of cursive graphic patterns. Two approaches are proposed to extract a smoothness feature: a crossing method and a fractal dimension method. When the proposed smoothness feature is combined with other global shape features for signature verification, satisfactory results are obtained.
Persistent Identifierhttp://hdl.handle.net/10722/155149
ISSN
0218-0014
2021 Impact Factor: 1.261
2020 SCImago Journal Rankings: 0.295
ISI Accession Number ID
WOS:000169851900003
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorFang, Ben_HK
dc.contributor.authorWang, YYen_HK
dc.contributor.authorLeung, CHen_HK
dc.contributor.authorTse, KWen_HK
dc.contributor.authorTang, YYen_HK
dc.contributor.authorKwok, PCKen_HK
dc.contributor.authorWong, YKen_HK
dc.date.accessioned2012-08-08T08:32:04Z-
dc.date.available2012-08-08T08:32:04Z-
dc.date.issued2001en_HK
dc.identifier.citationInternational Journal Of Pattern Recognition And Artificial Intelligence, 2001, v. 15 n. 4, p. 659-673en_HK
dc.identifier.issn0218-0014en_HK
dc.identifier.urihttp://hdl.handle.net/10722/155149-
dc.description.abstractIn this paper, a method is proposed for offline signature verification. It is based on a smoothness criterion. It is observed that the cursive segments of forgery signatures are generally less smooth and less natural than the genuine ones, especially for those signatures that consist of cursive graphic patterns. Two approaches are proposed to extract a smoothness feature: a crossing method and a fractal dimension method. When the proposed smoothness feature is combined with other global shape features for signature verification, satisfactory results are obtained.en_HK
dc.languageengen_US
dc.publisherWorld Scientific Publishing Co Pte Ltd. The Journal's web site is located at http://www.worldscinet.com/ijprai/ijprai.shtmlen_HK
dc.relation.ispartofInternational Journal of Pattern Recognition and Artificial Intelligenceen_HK
dc.subjectOffline systemen_HK
dc.subjectSignature verificationen_HK
dc.subjectSmoothness criterionen_HK
dc.subjectStroke analysisen_HK
dc.titleOffline signature verification by the analysis of cursive strokesen_HK
dc.typeArticleen_HK
dc.identifier.emailLeung, CH: chleung@eee.hku.hken_HK
dc.identifier.emailTse, KW: kwtse@eee.hku.hken_HK
dc.identifier.authorityLeung, CH=rp00146en_HK
dc.identifier.authorityTse, KW=rp00180en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1142/S0218001401001052en_HK
dc.identifier.scopuseid_2-s2.0-0035359985en_HK
dc.identifier.hkuros63525-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035359985&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume15en_HK
dc.identifier.issue4en_HK
dc.identifier.spage659en_HK
dc.identifier.epage673en_HK
dc.identifier.isiWOS:000169851900003-
dc.publisher.placeSingaporeen_HK
dc.identifier.scopusauthoridFang, B=35239499500en_HK
dc.identifier.scopusauthoridWang, YY=36062517100en_HK
dc.identifier.scopusauthoridLeung, CH=7402612415en_HK
dc.identifier.scopusauthoridTse, KW=7102609851en_HK
dc.identifier.scopusauthoridTang, YY=7404591899en_HK
dc.identifier.scopusauthoridKwok, PCK=7101871278en_HK
dc.identifier.scopusauthoridWong, YK=7403041696en_HK
dc.identifier.issnl0218-0014-

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