Online signature verification remains a challenging task owing to large intra-individual
variability. To tackle this problem, in this paper, we propose to use recurrent neural networks …

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 …

On-line signature verification is typically carried out with the use of digitizing tablets
specifically designed for the aim. So far, stand-alone systems have been mainly inspected …

Online handwritten signatures are widely used as a reliable identity authentication
technology in industries such as banking, insurance and hospitals. Most existing online …

Many features have been proposed in on-line signature verification. Generally, these
features rely on the position of the on-line signature samples and their dynamic properties …

The handwritten signature is a widely accepted biometric trait for the individual
authentication. This paper proposes a secure and dynamic signature verification method …

This paper presents original solutions from the field of intelligent expert systems for use in
behavioral biometrics. They combine possibilities offered by biometric methods with the …

Recognition of signature is a method of identification, whereas verification takes the decision
about its genuineness. Though recognition and verification both play important role in …

Despite the imitability of the signatures due to presence of numerous image processing
programs, online verification systems could provide sufficient security for e-signatures …

This paper proposes a novel set of function-based features for dynamic signature
verification. They are inspired on the human stance and the variations in the angles of the …