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. | |
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumb... |
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 |
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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: | 05 Nov 2024 09:50 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/15841 (The current URI for this page, for reference purposes) |
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