Computer-assisted handwriting style identification system for questioned document examination

Sung-Hyuk Cha; Sungsoo Yoon; Charles C. Tappert; Yillbyung Lee

doi:10.1117/12.584979

14 March 2005 Computer-assisted handwriting style identification system for questioned document examination

Sung-Hyuk Cha, Sungsoo Yoon, Charles C. Tappert, Yillbyung Lee

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.584979
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Sung-Hyuk Cha, Sungsoo Yoon, Charles C. Tappert, and 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); https://doi.org/10.1117/12.584979

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