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 …

Over the past few years, there has been an exponential increase in the percentage of
people owning and using a smart phone. These devices have sensor-rich touchscreens that …

Systems based on deep neural networks have made a breakthrough in many different
pattern recognition tasks. However, the use of these systems with traditional architectures …

Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …

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 …

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 …

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 …

Abstract Online Signature Verification (OSV) techniques have been deployed in production
systems for decades, yet training the model for efficient classification of the test signature …

Handwritten signatures are one of the most extensively utilized biometrics used for
authentication, and forgeries of this behavioral biometric are quite widespread. Biometric …

Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …