14 March 2005 Computer-assisted handwriting style identification system for questioned document examination
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Abstract
Handwriting originates from a particular copybook style such as Palmer or Zaner-Bloser that one learns in childhood. Since questioned document examination plays an important investigative and forensic role in many types of crime, it is important to develop a system that helps objectively identify a questioned document’s handwriting style. Here, we propose a computer vision system that can assist a document examiner in the identification of a writer’s handwriting style and therefore the origin or nationality of an unknown writer of a questioned document. We collected 33 Roman alphabet copybook styles from 18 countries. Each character in a questioned document is segmented and matched against all of the 33 handwriting copybook styles. The more characters present in the questioned document, the higher the accuracy observed.
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Sung-Hyuk Cha, Sung-Hyuk Cha, Sungsoo Yoon, Sungsoo Yoon, Charles C. Tappert, Charles C. Tappert, Yillbyung Lee, Yillbyung Lee, } "Computer-assisted handwriting style identification system for questioned document examination", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); doi: 10.1117/12.584979; https://doi.org/10.1117/12.584979
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