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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 strategic point. A modified version of the standard discrete...
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. Signature modelling is achieved by utilising either...
In this paper we present a novel framework for writer-independent on-line signature verification. This framework utilises a dynamic time warping-based dichotomy transformation and a writer-specific dissimilarity normalisation technique, in order to obtain a robust writer-independent signature representation in dissimilarity space. Support vector machines are utilised for signature modelling and verification...
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