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

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 …

Offline handwritten signature verification has been widely used for document forensics and
biometrics, and it is a popular issue. Deep learning models have commonly been used to …

Authenticating important documents by identifying individuals using handwritten signatures
make signature verification a critical task. Interpersonal similarity and intrapersonal variation …

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 …

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

Handwritten signatures are an undeniable and unique way to prove the identity of persons.
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …

Verifying the identity of a person using handwritten signatures is challenging in the presence
of skilled forgeries, where a forger has access to a person's signature and deliberately …

Handwritten signature is considered as one of the primary biometric processes for human
verification in various applications including banking and legal documentations. In general …

Offline handwritten signature verification is widely used important form of biometrics. It is a
challenging task due to time-variant nature of signature. To address the above difficulty, a …