Handwritten Signature Verification Using Complementary Statistical Models

@article{McCabe2009HandwrittenSV,
  title={Handwritten Signature Verification Using Complementary Statistical Models},
  author={Alan McCabe and Jarrod Trevathan},
  journal={J. Comput.},
  year={2009},
  volume={4},
  pages={670-680}
}
This paper describes a system for performing handwritten signature verification using complementary statistical models. The system analyses both the static features of a signature (e.g., shape, slant, size), and its dynamic features (e.g., velocity, pen-tip pressure, timing) to form a judgment about the signer’s identity. This approach’s novelty lies in combining output from existing Neural Network and Hidden Markov Model based signature verification systems to improve the robustness of any… 
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References

SHOWING 1-10 OF 38 REFERENCES
On-line handwritten signature verification using hidden Markov model features
TLDR
The authors demonstrate that with the addition to the global features of a local feature based on the signature likelihood obtained from hidden Markov models (HMM) the performance of signature verification improves significantly.
Markov Model-Based Handwritten Signature Verification
TLDR
This paper presents a HSV system that is based on a Hidden Markov Model (HMM) approach to representing and verifying the hand signature data and performs reasonably well with an overall error rate of 3.5%.
Automatic signature verification using a three-axis force-sensitive pen
TLDR
Particular advantages of the signature-verification system reported here are high performance, low storage requirements, and low-cost implementation in a stand-alone microprocessor unit.
On line signature verification: Fusion of a Hidden Markov Model and a neural network via a support vector machine
TLDR
On-line signature verification is proposed by the fusion of two complementary verification modules that considers a signature as a sequence of points and models the genuine signatures of a given signer by a Hidden Markov Model.
Personal identification based on handwriting
Automatic signature verification based on accelerometry
TLDR
An experimental system has been designed that utilizes a person's signature dynamics to verify identities and shows a high rejection of valid signatures and a low acceptance of forgeries.
Neural networks and handwritten signature verification
TLDR
In this thesis, various neural networks are trained to detect true signatures of several subjects, and reject forgeries of these same signatures, resulting in an error rate of 3% rejection of true signatures as forgeries, and 3% acceptance of forgeries as true signatures.
Signatures—Review and a New View
TLDR
The “true signature,” the model stored in the writer's brain that produces the automatic signature, is considered, the original or earlier signature style, which has been modified into the present model.
Automatic Signature Verification: System Description andField TestResults
TLDR
Improvements to the method of automatic signature verification based on accelerometry are given, foremost an additional measurement derived from the writing pressure, but also adaptation and the implementation and results of a large field test of the entire system.
Fusion of Multiple Matchers for Fingerprint Verification
TLDR
This work proposes a methodology to fuse the decisions of multiple verification algorithms in order to increase the robustness and the performance of a fingerprint verification system.
...
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3
4
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