Abstract:
Signatures are used for identification and legal transactions. Used to verify checks, drafts, certificates, approvals, letters, and other legal documents. Signatures are used in critical activities, so they must be authenticated. This verification prevents financial, legal, and commercial document forgery and falsification.
Signatures were manually checked against copies of authentic signatures. As technology advances, signature forgery and falsification methods may become more sophisticated. Thus, a new, effective tool is needed to solve this problem. Our Signature Verification System reduces human error in handwritten signature authentication.
Signature verification automatically and instantly verifies a signature. Our system checks if the user’s signature matches the database’s.
A machine learning model classifies the signature classification model. This will CNN. We will test and compare a sample signature (about 100 sample pictures of the same signature) with other random signatures.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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