DocumentCode :
752826
Title :
Task-related population characteristics in handwriting analysis
Author :
Chapran, J. ; Fairhurst, M.C. ; Guest, R.M. ; Ujam, C.
Author_Institution :
Dept. of Electron., Univ. of Kent, Canterbury
Volume :
2
Issue :
2
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
75
Lastpage :
87
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 quantifiable 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.
Keywords :
feature extraction; handwriting recognition; automatic handwriting analysis; features extraction; forensic document inspection; forgery; free-form written text; handwriting task; task-related population characteristics; writer demographics; writing task characteristics;
fLanguage :
English
Journal_Title :
Computer Vision, IET
Publisher :
iet
ISSN :
1751-9632
Type :
jour
DOI :
10.1049/iet-cvi:20070069
Filename :
4543868
Link To Document :
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