Abstract: Handwritten signature identification and verification has grown to be an active region of research in latest years. Handwritten signature identification systems are used for identifying the person amongst all customers enrolled within the gadget even as handwritten signature verification systems are used for authenticating a consumer via evaluating a specific signature with his signature that is stored in the gadget. This paper affords an evaluation for commonly used methods for pre-processing, function extraction and classification techniques in signature identity and verification structures, similarly to an assessment between the structures implemente in the literature for identification strategies and verification strategies in on line and offline systems with taking into consideration the datasets usednd outcomes for every system.
Keywords: Handwritten signature, verified signature
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DOI:
10.17148/IJARCCE.2023.12365
