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Off-line signature verification by the tracking of feature and stroke positions
Fang B.4; Leung C.H.3; Tang Y.Y.5; Tse K.W.3; Kwok P.C.K.1; Wong Y.K.2
2003
Source PublicationPattern Recognition
ISSN00313203
Volume36Issue:1Pages:91-101
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.
KeywordElastic matching Feature tracking Handwriting recognition Off-line system Signature verification
DOI10.1016/S0031-3203(02)00061-4
URLView the original
Language英語
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Cited Times [WOS]:88   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.The Open University of Hong Kong
2.Hong Kong Polytechnic University
3.The University of Hong Kong
4.National University of Singapore
5.Hong Kong Baptist University
Recommended Citation
GB/T 7714
Fang B.,Leung C.H.,Tang Y.Y.,et al. Off-line signature verification by the tracking of feature and stroke positions[J]. Pattern Recognition,2003,36(1):91-101.
APA Fang B.,Leung C.H.,Tang Y.Y.,Tse K.W.,Kwok P.C.K.,&Wong Y.K..(2003).Off-line signature verification by the tracking of feature and stroke positions.Pattern Recognition,36(1),91-101.
MLA Fang B.,et al."Off-line signature verification by the tracking of feature and stroke positions".Pattern Recognition 36.1(2003):91-101.
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