Published Paper Details:

Signature verification and forgery detection is the process of verifying signatures automatically and instantly to determine whether the signature is real or not. There are two main kinds of signature verification: static and dynamic. Static, or offline verification is the process of verifying a document signature after it has been made, while dynamic or online verification takes place as a person creates his/her signature on a digital tablet or a similar device. The signature in question is then compared to previous samples of that person's signature, which set up the database. In the case handwritten signature on a document, the computer needs the samples to be scanned for investigation, whereas a digital signature which is already stored in a data format can be used for signature verification. Handwritten signature is one of the most generally accepted personal attributes for verification with identity whether it may for banking or business. While this method uses CNNs to learn the signatures, the structure of our fully connected layer is not optimal. In the model we will create two classes for each user real and forgery.