A study on the consistency of features for on-line signature verification

Hansheng Lei; Venu Govindaraju

doi:10.1007/978-3-540-27868-9_47

A study on the consistency of features for on-line signature verification

Hansheng Lei
, Venu Govindaraju

Research and Economic Development

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Scopus citations

Abstract

A lot of different features have been proposed for on-line signature verification. By using these features, researchers implicitly believe they have high consistency as well as high discriminatory power. However, very little work has been done to measure the real consistency of these features. In this paper, we propose a model for consistency measure. Experiments were conducted to compare a comprehensive set of features commonly used for on-line signature verification.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Ana Fred, Terry Caelli, Robert P.W. Duin, Dick de Ridder, Aurelio Campilho
Publisher	Springer Verlag
Pages	444-451
Number of pages	8
ISBN (Print)	9783540225706
DOIs	https://doi.org/10.1007/978-3-540-27868-9_47
State	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3138
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-27868-9_47

Cite this

Lei, H., & Govindaraju, V. (2004). A study on the consistency of features for on-line signature verification. In A. Fred, T. Caelli, R. P. W. Duin, D. de Ridder, & A. Campilho (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 444-451). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3138). Springer Verlag. https://doi.org/10.1007/978-3-540-27868-9_47

Lei, Hansheng ; Govindaraju, Venu. / A study on the consistency of features for on-line signature verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Ana Fred ; Terry Caelli ; Robert P.W. Duin ; Dick de Ridder ; Aurelio Campilho. Springer Verlag, 2004. pp. 444-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "A lot of different features have been proposed for on-line signature verification. By using these features, researchers implicitly believe they have high consistency as well as high discriminatory power. However, very little work has been done to measure the real consistency of these features. In this paper, we propose a model for consistency measure. Experiments were conducted to compare a comprehensive set of features commonly used for on-line signature verification.",

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Lei, H & Govindaraju, V 2004, A study on the consistency of features for on-line signature verification. in A Fred, T Caelli, RPW Duin, D de Ridder & A Campilho (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3138, Springer Verlag, pp. 444-451. https://doi.org/10.1007/978-3-540-27868-9_47

A study on the consistency of features for on-line signature verification. / Lei, Hansheng; Govindaraju, Venu.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Ana Fred; Terry Caelli; Robert P.W. Duin; Dick de Ridder; Aurelio Campilho. Springer Verlag, 2004. p. 444-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3138).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - A lot of different features have been proposed for on-line signature verification. By using these features, researchers implicitly believe they have high consistency as well as high discriminatory power. However, very little work has been done to measure the real consistency of these features. In this paper, we propose a model for consistency measure. Experiments were conducted to compare a comprehensive set of features commonly used for on-line signature verification.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Lei H, Govindaraju V. A study on the consistency of features for on-line signature verification. In Fred A, Caelli T, Duin RPW, de Ridder D, Campilho A, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 444-451. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-27868-9_47

A study on the consistency of features for on-line signature verification

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