Automatic signature verification based on accelerometry

@inproceedings{Herbst1977AutomaticSV,
  title={Automatic signature verification based on accelerometry},
  author={Noel M. Herbst and Chao Ning Liu},
  year={1977}
}
The fine structure of the muscle forces that are exerted during the writing of a signature is constant and well defined for most people. In general, the fine structure is not subject to conscious control. Based on these observations, an experimental system has been designed that utilizes a person's signature dynamics to verify identities. The design and operational features of this system are described. Experiments on 70 subjects during a four-week period show a 2.9 percent rejection of valid… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • Experiments on 70 subjects during a four-week period show a 2.9 percent rejection of valid signatures and a 2.1 percent acceptance of forgeries.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-10 OF 72 CITATIONS

Signature Verification: A Comprehensive Study of the Hidden Signature Method

  • Applied Mathematics and Computer Science
  • 2015
VIEW 1 EXCERPT
CITES METHODS

FILTER CITATIONS BY YEAR

1978
2018

CITATION STATISTICS

  • 2 Highly Influenced Citations

Similar Papers