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A comparative study of various methods for offline signature verification

In today's world, signatures are the most widely accepted form of biometric identity verification. However, they have big side-effect of being easily misused or stolen by those who would pretend the identification or intent of an individual. Signature verification helps to identify the original and forged signature. This paper presents current approaches to off-line signature verification with the goal of surveying the most beneficial techniques that are available. This investigation will also introduce techniques that will significantly boost the achieved classification accuracy rate. This paper presents a comparative study of various approaches of offline signature verification too.