A set of geometrical features for writer identification

Abdelaali Hassaine; Somaya Al-Maadeed; Ahmed Bouridane

doi:10.1007/978-3-642-34500-5_69

A set of geometrical features for writer identification

Abdelaali Hassaine, Somaya Al-Maadeed, Ahmed Bouridane

Computer Information Sciences Department

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

25 Citations (Scopus)

Abstract

Writer identification is an important field in the forensic document examination. We propose in this paper a set of geometrical features that makes it possible to characterize writers. They include directions, curvatures and tortuosities. We show how these features can be combined with edge based directional features as well as chain code based features. Evaluation of the method is performed on the IAM handwriting database.

Original language	English
Title of host publication	Neural Information Processing
Place of Publication	London
Publisher	Springer
Pages	584-591
Volume	7667
ISBN (Print)	978-3-642-34499-2
DOIs	https://doi.org/10.1007/978-3-642-34500-5_69
Publication status	Published - 2012

Keywords

Forensic document examination
handwriting curvatures
handwriting directions
handwriting tortuosities
writer identification

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10.1007/978-3-642-34500-5_69

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abstract = "Writer identification is an important field in the forensic document examination. We propose in this paper a set of geometrical features that makes it possible to characterize writers. They include directions, curvatures and tortuosities. We show how these features can be combined with edge based directional features as well as chain code based features. Evaluation of the method is performed on the IAM handwriting database.",

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AB - Writer identification is an important field in the forensic document examination. We propose in this paper a set of geometrical features that makes it possible to characterize writers. They include directions, curvatures and tortuosities. We show how these features can be combined with edge based directional features as well as chain code based features. Evaluation of the method is performed on the IAM handwriting database.

KW - Forensic document examination

KW - handwriting curvatures

KW - handwriting directions

KW - handwriting tortuosities

KW - writer identification

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M3 - Chapter

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VL - 7667

SP - 584

EP - 591

BT - Neural Information Processing

PB - Springer

CY - London

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A set of geometrical features for writer identification

Abstract

Keywords

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