Abstract
Currently, a lot of time is needed for the verification of the signature manually. The need of developing an automated checking system is felt because of signature forgery in various transactions. The dynamic signature is a biometric trait that is used in identification. Automatic signature verification is an application of Image Processing. The aim of the model is to identify the correct signature for reducing fraudulent transactions. It is difficult to have multiple signatures of the same person so the idea is to duplicate a given signature number of times by inducing variations and using verifiers to give a similarity. For duplication of signature, the approach of using the Cognitive Inspired Model is used. The approach for creating human-like signatures can be done by introducing Intra-Component and Inter-Component variability. For verification, Structural Similarity Index (SSIM) and Image Hashing techniques are used.
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