Johannes Coetzer

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We developed a system that automatically authenticates offline handwritten signatures using the discrete Radon transform (DRT) and a hidden Markov model (HMM). Given the robustness of our algorithm and the fact that only global features are considered, satisfactory results are obtained. Using a database of 924 signatures from 22 writers, our system achieves(More)
When a large number of documents, e.g. bank cheques, have to be authenticated in a limited time, the manual verification of, say the authors' signatures , is often unrealistic. This led to the development of a wide range of automatic off-line signature verification systems. However, the value of such a system is rarely demonstrated by conducting a(More)
In this paper we present a novel writer-independent on-line signature verification system. The proposed system obtains a universal signature representation in dissimilarity space, but remains able to compensate for the personal variability of an individual's handwriting by subsequently employing a writer-specific dissimilarity normalisation strategy.(More)
A novel system that is based on the efficient detection of curved lines within an input image is proposed for the purpose of offline signature verification. This is achieved by first trans­forming the signature image into five different representations of said image in polar coordinates, where each polar representation originates at a different(More)
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