Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …

The offline signatures are the most widely adopted biometric authentication techniques in
banking systems, administrative and financial applications due to its simplicity and …

Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …

Signature identification and verification are some of the biometric systems used for personal
identification. Signatures can be considered as authentication of an individual by the …

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 …

In this paper, we propose a novel writer-independent global feature extraction framework for
the task of automatic signature verification which aims to make robust systems for …

Building upon findings in computational model of handwriting learning and execution, we
introduce the concept of stability to explain the difference between the actual movements …

Although there have been several developments in offline signature recognition, there is still
no much focus on the recognition problem using a small sample size for the training. In …

Handwritten signature verification is a challenging task because signatures of a writer may
be skillfully imitated by a forger. As skilled forgeries are generally difficult to acquire for …

In spite of recent advances in computer vision, the classic problem of offline handwritten
signature verification still remains challenging. The signature verification task has a high …