ABSTRACT
The area of Signature Verification has been broadly researched in the last decades, but remains an open research problem. The objective of signature verification systems is to discriminate if a given signature is genuine produced by the claimed individual, or a forgery produced by an impostor. This has demonstrated to be a challenging task, in particular in the offline static scenario, that uses images of scanned signatures, where the dynamic information about the signing process is not available. Many advancements have been proposed in the literature in the last 5-10 years, most notably the application is to learn feature representations from signature images. In this project, we present how the problem has been handled in the past few decades, analyse the recent advancements in the field, and the potential directions for future research.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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