Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification

The purpose of writing this paper is three-fold. First, it presents a novel local / part-based automatic system for forensic signature verification involving disguised signatures. Disguised signatures are written by authentic authors but with the intention of later denial. The proposed system reaches an equal error rate of 3.36% in classifying disguised and genuine signatures. Second, it compares the performance of the proposed system with various state-of-the-art signature verification systems on the same data, i.e., the publicly available dataset of 4NSigComp2010 signature verification competition. Third, it presents a performance comparison of the proposed system with human forensic handwriting examiners. It is important as it highlights the potential of the proposed system to assist humans in solving real world forensic signature verification cases.