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Article: Off-line signature verification by the tracking of feature and stroke positions

TitleOff-line signature verification by the tracking of feature and stroke positions
Authors
KeywordsElastic matching
Feature tracking
Handwriting recognition
Off-line system
Signature verification
Issue Date2003
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr
Citation
Pattern Recognition, 2003, v. 36 n. 1, p. 91-101 How to Cite?
AbstractThere are inevitable variations in the signature patterns written by the same person. The variations can occur in the shape or in the relative positions of the characteristic features. In this paper, two methods are proposed to track the variations. Given the set of training signature samples, the first method measures the positional variations of the one-dimensional projection profiles of the signature patterns; and the second method determines the variations in relative stroke positions in the two-dimension signature patterns. The statistics on these variations are determined from the training set. Given a signature to be verified, the positional displacements are determined and the authenticity is decided based on the statistics of the training samples. For the purpose of comparison, two existing methods proposed by other researchers were implemented and tested on the same database. Furthermore, two volunteers were recruited to perform the same verification task. Results show that the proposed system compares favorably with other methods and outperforms the volunteers. © 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/73520
ISSN
2015 Impact Factor: 3.399
2015 SCImago Journal Rankings: 2.051
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFang, Ben_HK
dc.contributor.authorLeung, CHen_HK
dc.contributor.authorTang, YYen_HK
dc.contributor.authorTse, KWen_HK
dc.contributor.authorKwok, PCKen_HK
dc.contributor.authorWong, YKen_HK
dc.date.accessioned2010-09-06T06:52:07Z-
dc.date.available2010-09-06T06:52:07Z-
dc.date.issued2003en_HK
dc.identifier.citationPattern Recognition, 2003, v. 36 n. 1, p. 91-101en_HK
dc.identifier.issn0031-3203en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73520-
dc.description.abstractThere are inevitable variations in the signature patterns written by the same person. The variations can occur in the shape or in the relative positions of the characteristic features. In this paper, two methods are proposed to track the variations. Given the set of training signature samples, the first method measures the positional variations of the one-dimensional projection profiles of the signature patterns; and the second method determines the variations in relative stroke positions in the two-dimension signature patterns. The statistics on these variations are determined from the training set. Given a signature to be verified, the positional displacements are determined and the authenticity is decided based on the statistics of the training samples. For the purpose of comparison, two existing methods proposed by other researchers were implemented and tested on the same database. Furthermore, two volunteers were recruited to perform the same verification task. Results show that the proposed system compares favorably with other methods and outperforms the volunteers. © 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pren_HK
dc.relation.ispartofPattern Recognitionen_HK
dc.subjectElastic matchingen_HK
dc.subjectFeature trackingen_HK
dc.subjectHandwriting recognitionen_HK
dc.subjectOff-line systemen_HK
dc.subjectSignature verificationen_HK
dc.titleOff-line signature verification by the tracking of feature and stroke positionsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0031-3203&volume=36&spage=91&epage=101&date=2003&atitle=Off-line+signature+verification+by+the+tracking+of+feature+and+stroke+positionsen_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_fulltext-
dc.identifier.doi10.1016/S0031-3203(02)00061-4en_HK
dc.identifier.scopuseid_2-s2.0-0037209411en_HK
dc.identifier.hkuros82618en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037209411&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume36en_HK
dc.identifier.issue1en_HK
dc.identifier.spage91en_HK
dc.identifier.epage101en_HK
dc.identifier.isiWOS:000179101000009-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridFang, B=35239499500en_HK
dc.identifier.scopusauthoridLeung, CH=7402612415en_HK
dc.identifier.scopusauthoridTang, YY=7404591899en_HK
dc.identifier.scopusauthoridTse, KW=7102609851en_HK
dc.identifier.scopusauthoridKwok, PCK=7101871278en_HK
dc.identifier.scopusauthoridWong, YK=7403041696en_HK
dc.identifier.citeulike797372-

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