Off-line Signature Verification by Matching with a 3D Reference Knowledge Image — From Research to Actual Application

作者: Maan Ammar

DOI: 10.1007/978-3-642-22407-2_26

关键词:

摘要: This chapter introduces a method for off-line verification of signatures. The can be used to verify signatures and detect skilled forgeries with outstanding performance. It is based on matching the questioned signature 3D reference knowledge image (RKI) using ammar technique (AMT). AMT which was developed modified through years (1989 – 2010) introduced in detail, RKI derived from methodology forensic document examiner (FDE) working elaborated. features extracted new representation has been found highly effective verification, distinctly outperform classical like slants, baseline, contour ones data used. Experimental results RKIs built binary, high pressure, thinned images feature extraction are also presented discussed.

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