UM
Offline signature verification by the analysis of cursive strokes
Fang B.3; Wang Y.Y.3; Leung C.H.3; Tse K.W.3; Tang Y.Y.4; Kwok P.C.K.1; Wong Y.K.2
2001-06-01
Source PublicationInternational Journal of Pattern Recognition and Artificial Intelligence
ISSN02180014
Volume15Issue:4Pages:659-673
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.
KeywordOffline system Signature verification Smoothness criterion Stroke analysis
DOI10.1142/S0218001401001052
URLView the original
Language英語
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Cited Times [WOS]:12   [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.Hong Kong Baptist University
Recommended Citation
GB/T 7714
Fang B.,Wang Y.Y.,Leung C.H.,et al. Offline signature verification by the analysis of cursive strokes[J]. International Journal of Pattern Recognition and Artificial Intelligence,2001,15(4):659-673.
APA Fang B..,Wang Y.Y..,Leung C.H..,Tse K.W..,Tang Y.Y..,...&Wong Y.K..(2001).Offline signature verification by the analysis of cursive strokes.International Journal of Pattern Recognition and Artificial Intelligence,15(4),659-673.
MLA Fang B.,et al."Offline signature verification by the analysis of cursive strokes".International Journal of Pattern Recognition and Artificial Intelligence 15.4(2001):659-673.
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