Feature Representation for Online Signature Verification

Biometrics systems have been used in a wide range of applications and have improved people authentication. Signature verification is one of the most common biometric methods with techniques that employ various specifications of a signature. Recently, deep learning has achieved great success in many fields, such as image, sounds and text processing. In this paper, deep learning method has been used for feature extraction and feature selection.Comment: 10 pages, 10 figures, Submitted to IEEE Transactions on Information Forensics and Securit

eIDeCert: a user-centric solution for mobile identification

The necessity to certify one's identity for different purposes and the evolution of mobile technologies have led to the generation of electronic devices such as smart cards, and electronic identities designed to meet daily needs. Nevertheless, these mechanisms have a problem: they don't allow the user to set the scope of the information presented. That problem introduces interesting security and privacy challenges and requires the development of a new tool that supports user-centrity for the information being handled. This article presents eIDeCert, a tool for the management of electronic identities (eIDs) in a mobile environment with a user-centric approach. Taking advantage of existing eCert technology we will be able to solve a real problem. On the other hand, the application takes us to the boundary of what the technology can cope with: we will assess how close we are to the boundary, and we will present an idea of what the next step should be to enable us to reach the goal

Bringing Transnational Participatory Democracy to Life: Tips for Would-be Organisers of a European Citizens' Initiative

The first section of the Guide discusses the extent of the power that the ECI truly gives to citizens and offers a brief overview of the ECI process. The second section goes through the process step by step and includes some experiences of current ECIs organisers. The third section provides some lessons from pre-ECI Regulation initiatives. The fourth section summarizes the future of the ECI. The Guide ends with a section providing ECI resources