Offline signature verification has been accepted as a tool for individual authentication. To
address the remaining challenges and improve the discriminative power, this study …

Signature verification task needs relevant signature representations to achieve low error
rates. Many signature representations have been proposed so far. In this work we propose a …

This research comes out with an in-depth review of widely used techniques to handwritten
signature verification based, feature selection techniques. The focus of this research is to …

Signature verification has remained one of the most widely accepted modalities to
authenticate an individual primarily due to the ease with which signatures can be acquired …

Signature verification and forgery detection is a challenging field with a lot of critical issues.
Signatures forgery drives cooperates and business organizations to huge financial loss and …

Biometric authentication by means of handwritten signatures is a challenging pattern
recognition task, which aims to infer a writer model from only a handful of genuine …

For handwritten signature verification, signature images are typically represented with fixed-
sized feature vectors capturing local and global properties of the handwriting. Graph-based …

This paper proposes the use of binary features in offline signature recognition systems.
Indeed, offline signature recognition finds mainly its importance for the authentication of …

Handwritten Signature verification is an important personal identification. It is widely used in
authorizing a cheque or legal documents. Signature verification is either online (dynamic) or …

Offline handwritten signatures is a convincing evidence form of biometrics for verification.
However, the verification of offline handwritten signatures is challenging task because of the …