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Paper details
Number 3 - September 2015
Volume 25 - 2015
Signature verification: A comprehensive study of the hidden signature method
Joanna Putz-Leszczyńska
Abstract
Many handwritten signature verification algorithms have been developed in order to distinguish between genuine signatures
and forgeries. An important group of these methods is based on dynamic time warping (DTW). Traditional use of DTW
for signature verification consists in forming a misalignment score between the verified signature and a set of template
signatures. The right selection of template signatures has a big impact on that verification. In this article, we describe
our proposition for replacing the template signatures with the hidden signature—an artificial signature which is created by minimizing the mean misalignment between itself and the signatures from the enrollment set. We present a few hidden signature estimation methods together with their comprehensive comparison. The hidden signature opens a number of new possibilities for signature analysis. We apply statistical properties of the hidden signature to normalize the error signal of
the verified signature and to use the misalignment on the normalized errors as a verification basis. A result, we achieve
satisfying error rates that allow creating an on-line system, ready for operating in a real-world environment.
Keywords
verification, on-line recognition, time warping, hidden signature