Download Project Document/Synopsis
Every person has a unique signature that is used primarily for personal identification and verification of important documents or legal transactions. Mostly used to authenticate checks, draughts, certificates, approvals, letters, and other legal documents. Because a signature is used in such critical activities, verification of its authenticity is essential. This type of verification is critical in preventing document forgery and falsification in a variety of financial, legal, and commercial settings.
Traditionally, signatures were manually verified by comparing them to copies of genuine signatures. This simple method may not be sufficient as technology advances, bringing with it new techniques for forgery and falsification of signatures. So, in order to tackle such a problem new efficient tool is needed. Our Signature Verification System can help in the authentication of a handwritten signature by reducing human error.
Signature verification is the process of automatically and instantly determining whether a signature is genuine or not. Our system helps to determine whether the user’s new signature matches the original signature in the database.
For the purpose of classifying the signature classification model, we have implemented a machine learning model. We will CNN for this. To test and see the results, we will take a sample signature (about 100 sample pictures of the same signature) and compare the sample pictures of the original signature with other random signatures.
Advantages
- It automatically detects without any human supervision.
- A simple and effective method for identifying a person’s signature.