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Conference Paper: Offline signature verification with generated training samples

TitleOffline signature verification with generated training samples
Authors
Issue Date2002
Citation
Iee Proceedings: Vision, Image And Signal Processing, 2002, v. 149 n. 2, p. 85-90 How to Cite?
AbstractIt is often difficult to obtain sufficient signature samples to train up a signature verification system. An elastic matching method to generate additional samples is proposed to expand the limited training set so that a better estimate of the statistical variations can be obtained. The method differs from existing ones in that it is more suitable for the generation of signature samples. Besides this, a set of peripheral features, which is useful in describing both the internal and external structures of signatures, is employed to represent the signatures in the verification process. Results showed that the additional samples generated by the proposed method could reduce the error rate from 15.6% to 11.4%. It also outperformed another existing method which estimates the class covariance matrix through optimisation techniques. Results also demonstrated that the peripheral features are useful for signature verification.
Persistent Identifierhttp://hdl.handle.net/10722/158345
ISSN
2006 Impact Factor: 0.461
2009 SCImago Journal Rankings: 0.450
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFang, Ben_HK
dc.contributor.authorLeung, CHen_HK
dc.contributor.authorTang, YYen_HK
dc.contributor.authorKwok, PCKen_HK
dc.contributor.authorTse, KWen_HK
dc.contributor.authorWong, YKen_HK
dc.date.accessioned2012-08-08T08:59:10Z-
dc.date.available2012-08-08T08:59:10Z-
dc.date.issued2002en_HK
dc.identifier.citationIee Proceedings: Vision, Image And Signal Processing, 2002, v. 149 n. 2, p. 85-90en_US
dc.identifier.issn1350-245Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/158345-
dc.description.abstractIt is often difficult to obtain sufficient signature samples to train up a signature verification system. An elastic matching method to generate additional samples is proposed to expand the limited training set so that a better estimate of the statistical variations can be obtained. The method differs from existing ones in that it is more suitable for the generation of signature samples. Besides this, a set of peripheral features, which is useful in describing both the internal and external structures of signatures, is employed to represent the signatures in the verification process. Results showed that the additional samples generated by the proposed method could reduce the error rate from 15.6% to 11.4%. It also outperformed another existing method which estimates the class covariance matrix through optimisation techniques. Results also demonstrated that the peripheral features are useful for signature verification.en_HK
dc.languageengen_US
dc.relation.ispartofIEE Proceedings: Vision, Image and Signal Processingen_HK
dc.titleOffline signature verification with generated training samplesen_HK
dc.typeConference_Paperen_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.doi10.1049/ip-vis:20020191en_HK
dc.identifier.scopuseid_2-s2.0-0036544342en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036544342&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume149en_HK
dc.identifier.issue2en_HK
dc.identifier.spage85en_HK
dc.identifier.epage90en_HK
dc.identifier.isiWOS:000177021100004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridFang, B=35239499500en_HK
dc.identifier.scopusauthoridLeung, CH=7402612415en_HK
dc.identifier.scopusauthoridTang, YY=7404591899en_HK
dc.identifier.scopusauthoridKwok, PCK=7101871278en_HK
dc.identifier.scopusauthoridTse, KW=7102609851en_HK
dc.identifier.scopusauthoridWong, YK=7403041696en_HK

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