1 March 1991 Off-line machine recognition of forgeries
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Proceedings Volume 1386, Machine Vision Systems Integration in Industry; (1991) https://doi.org/10.1117/12.25400
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Randolph, David Randolph, Ganapathy Krishnan, Ganapathy Krishnan, } "Off-line machine recognition of forgeries", Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); doi: 10.1117/12.25400; https://doi.org/10.1117/12.25400
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