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Task-Related Population Characteristics in Handwriting Analysis

Chapran, J., Fairhurst, Michael, Guest, Richard, Ujam, C. (2008) Task-Related Population Characteristics in Handwriting Analysis. IET Computer Vision, 2 (2). pp. 75-87. ISSN 1751-9632. (doi:10.1049/iet-cvi:20070069) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15841)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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Abstract

An analysis of features extracted from handwriting samples according to writer demographics and writing task characteristics is presented. The individual demographics studied here include age, gender and handedness, while the handwriting tasks considered include writing the individual signature, form-filling, cheque-completion and constructing free-form written text. By analysing different features of handwriting, the authors establish a link between a writer's individual characteristics including demographic properties, the handwriting task being attempted and quanti. able features of handwriting such as pen velocity, acceleration and slant. Additionally, imitated or 'forged' handwriting is also analysed on exactly the same basis. The analysis is performed on a newly collected database of handwriting samples collected from a population of 150 writers, and which can be utilised in both forensic document inspection and automatic handwriting analysis research. All handwriting samples, including forgery attempts, were recorded both temporally as a series of pen positional coordinates and scanned at a resolution of 600 dpi to enable both dynamic and static processing.

Item Type: Article
DOI/Identification number: 10.1049/iet-cvi:20070069
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 21 Apr 2009 08:41 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/15841 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

Guest, Richard.

Creator's ORCID: https://orcid.org/0000-0001-7535-7336
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