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Proceedings Paper

Off-line machine recognition of forgeries
Author(s): David Randolph; Ganapathy Krishnan
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Paper Abstract

The handwritten signature is the most widely employed source of secure identification in the United States especially for cashing checks and verifying credit card transactions. Currently all signature verification is based on visual inspection by a teller or a store clerk. Previous successful techniques for forgery detection have primarily been on-line techniques. This paper describes an off-line technique that can spot forgeries with a accuracy of 94. 44 while accepting 92. 5 of genuine signatures.

Paper Details

Date Published: 1 March 1991
PDF: 10 pages
Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); doi: 10.1117/12.25400
Show Author Affiliations
David Randolph, Stetson Univ. (United States)
Ganapathy Krishnan, Stetson Univ. (United States)

Published in SPIE Proceedings Vol. 1386:
Machine Vision Systems Integration in Industry
Bruce G. Batchelor; Frederick M. Waltz, Editor(s)

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