In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

In recent years, along with the extraordinary diffusion of the Internet and a growing need for
personal verification in many daily applications, automatic signature verification is being …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

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 …

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 …

We present a system for online handwritten signature verification, approaching the problem
as a two-class pattern recognition problem. A test signature's authenticity is established by …

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 …

This paper is concerned with the performance evaluation of fingerprint verification systems.
After an initial classification of biometric testing initiatives, we explore both the theoretical …

A function-based approach to on-line signature verification is presented. The system uses a
set of time sequences and Hidden Markov Models (HMMs). Development and evaluation …

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