Explainable offline automatic signature verifier to support forensic handwriting examiners
Moises Diaz,
Miguel A. Ferrer,
Gennaro Vessio
Abstract:Signature verification is a critical task in many applications, including forensic science, legal judgments, and financial markets. However, current signature verification systems are often difficult to explain, which can limit their acceptance in these applications. In this paper, we propose a novel explainable offline automatic signature verifier (ASV) to support forensic handwriting examiners. Our ASV is based on a universal background model (UBM) constructed from offline signature images. It allows us to a… Show more
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