The availability of large-scale facial databases, together with the remarkable progresses of
deep learning technologies, in particular Generative Adversarial Networks (GANs), have led …

Recurrent Neural Networks are powerful machine learning frameworks that allow for data to
be saved and referenced in a temporal sequence. This opens many new possibilities in …

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 …

Mobile behavioral biometrics have become a popular topic of research, reaching promising
results in terms of authentication, exploiting a multimodal combination of touchscreen and …

Current mobile user authentication systems based on PIN codes, fingerprint, and face
recognition have several shortcomings. Such limitations have been addressed in the …

We study the performance of Long Short-Term Memory networks for keystroke biometric
authentication at large scale in free-text scenarios. For this we explore the performance of …

The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …

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

Privacy-enhancing technologies are technologies that implement fundamental data
protection principles. With respect to biometric recognition, different types of privacy …

This article presents SVC-onGoing 1, an on-going competition for on-line signature
verification where researchers can easily benchmark their systems against the state of the …