Offline signature verification by the analysis of cursive strokes

B. Fang; Y. Y. Wang; C. H. Leung; K. W. Tse; Y. Y. Tang; P. C.K. Kwok; Y. K. Wong

doi:10.1142/S0218001401001052

Offline signature verification by the analysis of cursive strokes

B. Fang, Y. Y. Wang, C. H. Leung, K. W. Tse, Y. Y. Tang, P. C.K. Kwok, Y. K. Wong

Hong Kong Metropolitan University

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

In 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.

Original language	English
Pages (from-to)	659-673
Number of pages	15
Journal	International Journal of Pattern Recognition and Artificial Intelligence
Volume	15
Issue number	4
DOIs	https://doi.org/10.1142/S0218001401001052
Publication status	Published - Jun 2001

Keywords

Offline system
Signature verification
Smoothness criterion
Stroke analysis

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10.1142/S0218001401001052

Cite this

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title = "Offline signature verification by the analysis of cursive strokes",

abstract = "In 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.",

keywords = "Offline system, Signature verification, Smoothness criterion, Stroke analysis",

author = "B. Fang and Wang, {Y. Y.} and Leung, {C. H.} and Tse, {K. W.} and Tang, {Y. Y.} and Kwok, {P. C.K.} and Wong, {Y. K.}",

note = "Funding Information: This research is supported by a research grant from the Hong Kong Research Grant Council, reference no. HKU7044/97E.",

year = "2001",

month = jun,

doi = "10.1142/S0218001401001052",

language = "English",

volume = "15",

pages = "659--673",

journal = "International Journal of Pattern Recognition and Artificial Intelligence",

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publisher = "World Scientific Publishing Co. Pte Ltd",

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TY - JOUR

T1 - Offline signature verification by the analysis of cursive strokes

AU - Fang, B.

AU - Wang, Y. Y.

AU - Leung, C. H.

AU - Tse, K. W.

AU - Tang, Y. Y.

AU - Kwok, P. C.K.

AU - Wong, Y. K.

N1 - Funding Information: This research is supported by a research grant from the Hong Kong Research Grant Council, reference no. HKU7044/97E.

PY - 2001/6

Y1 - 2001/6

N2 - In 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.

AB - In 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.

KW - Offline system

KW - Signature verification

KW - Smoothness criterion

KW - Stroke analysis

UR - http://www.scopus.com/inward/record.url?scp=0035359985&partnerID=8YFLogxK

U2 - 10.1142/S0218001401001052

DO - 10.1142/S0218001401001052

M3 - Article

AN - SCOPUS:0035359985

SN - 0218-0014

VL - 15

SP - 659

EP - 673

JO - International Journal of Pattern Recognition and Artificial Intelligence

JF - International Journal of Pattern Recognition and Artificial Intelligence

IS - 4

ER -

Offline signature verification by the analysis of cursive strokes

Abstract

Keywords

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