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1 February 1991 Slope histogram detection of forged handwritten signatures
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Proceedings Volume 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition; (1991) https://doi.org/10.1117/12.25331
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
A new approach to the problem of handwritten signature verification is presented. This method exploits the regularity of length and curvature of a signature. Overall signature content at various angles is evaluated to form a slope histogram. Histograms are then passed to a classifier constructed from 10 valid signatures. Performance of the classifier on a data pool of 1000 valid and casually forged signatures is evaluated. In particular the equal error rate of this approach is shown to average 7 across 9 different subjects. Increases in the classifier error rates are noted when the forger is allowed some a priori knowledge of the target signature.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy S. Wilkinson and Joseph W. Goodman "Slope histogram detection of forged handwritten signatures", Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); https://doi.org/10.1117/12.25331
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