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Proceedings Paper

Discriminatory power of handwriting
Author(s): Sargur N. Srihari; Sung-Hyuk Cha; Sangjik Lee
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Paper Abstract

A study was undertaken to determine the power of handwriting to distinguish between individuals. Handwriting samples of one thousand five hundred individuals, representative of the US population with respect to gender, age, ethnic groups, etc., were obtained. Analyzing differences in handwriting was done by using computer algorithms for extracting features from scanned images of handwriting. Attributes characteristic of the handwriting were obtained, e.g., line separation, slant, character shapes, etc. These attributes, which are a subset of attributes used by expert document examiners, were used to quantitatively establish individuality by using machine learning approaches. Using global attributes of hadwriting and very few characters in the writing, the ability to determine the writer with a high degree of confidence was established. The work is a step towards providing scientific support for admitting handwriting evidence in court. The mathematical approach and the resulting software also have the promise of aiding the expert document examiner.

Paper Details

Date Published: 18 December 2001
PDF: 14 pages
Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); doi: 10.1117/12.450722
Show Author Affiliations
Sargur N. Srihari, SUNY/Buffalo (United States)
Sung-Hyuk Cha, Pace Univ. (United States)
Sangjik Lee, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 4670:
Document Recognition and Retrieval IX
Paul B. Kantor; Tapas Kanungo; Jiangying Zhou, Editor(s)

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