This paper presents a comprehensive study on handwritten signature verification using
deep learning techniques. This research aims to address the challenges of offline signature …

A handwritten signature is the most widely accepted method to authenticate an individual in
banking, financial, business transactions, cheque processing, access control, and e …

Every person has a unique signature, which is primarily used for identity documents and the
authentication of significant documents or legal documentation. Static and dynamic …

Handwritten signatures are biometrics and a point of contention in the scientific community,
the process used to verify whether a person's signature is genuine. In the past ten years, the …

Hand-written signatures are marked on documents to establish legally binding evidence of
identity and intent. However, they are prone to forgery, and the design of an accurate feature …

In the contemporary digital landscape, individuals are increasingly utilizing online services
with remarkable ease. Deep learning technology has become indispensable in applications …

Handwritten signature is the most commonly employed behavioral biometric in financial, and
legal institutions. Because of its simplicity, forgers may easily counterfeit signatures and …

Automatic signature verification methods play a significant role in providing a secure and
authenticated handwritten signature in many applications, to prevent forgery problems …

Handwritten signatures have been used in financial and legal documents for a long time. It is
crucial in the financial sector to distinguish between authentic handwritten signatures and …

With the recent advancements in deep learning techniques, the application areas of
unstructured data analytics are emerging in multiple domains. One of the popular …