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Proceedings Paper

Computer-assisted handwriting style identification system for questioned document examination
Author(s): Sung-Hyuk Cha; Sungsoo Yoon; Charles C. Tappert; Yillbyung Lee
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Paper 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.

Paper Details

Date Published: 14 March 2005
PDF: 8 pages
Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); doi: 10.1117/12.584979
Show Author Affiliations
Sung-Hyuk Cha, Pace Univ. (United States)
Sungsoo Yoon, Yonsei Univ. (South Korea)
Charles C. Tappert, Pace Univ. (United States)
Yillbyung Lee, Yonsei Univ. (South Korea)

Published in SPIE Proceedings Vol. 5685:
Image and Video Communications and Processing 2005
Amir Said; John G. Apostolopoulos, Editor(s)

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