This meeting covers all IC1106 Working Groups progress reports and individual presentations of the members. Then the MC meeting of the Action was planned and after that the kick-off meeting of the European Division of the International Association for Identification was held.
Biometrics provides efficient and reliable solutions to recognize individuals. With increasing number of identity theft and miscues incidents we do observe a significant fraud in e-commerce and thus growing interests on trustworthiness of person authentication. Nowadays we find biometric applications in areas like border control, national ID cards, e-banking, e-commerce, e-health etc. Large-scale applications such as the European Union Visa Information System (VIS) and Unique Identification (UID) in India require high accuracy and also reliability, interoperability, scalability, system reliability and usability. Many of these are joint requirements also for forensic applications.
IC1106 members and Romanian Forensic Institute and the Image Analysis Lab joint meeting. The ENFSI DIWG addresses a broad variety of different topics including, but not limited to, the image enhancement, (facial) image comparison, photogrametry, 3D-documentation of crime/crash scenes and digital image/video recovery.
In our increasingly interconnected society, the need to establish a person’s identity is becoming critical. Traditional authentication based on what one possesses (e.g, token/access card) or what one knows (password) no longer suffices. Biometrics, described as the science of recognizing an individual based on his/her physiological or behavioral traits, which is effectively based on what one is, offers an important solution to identity security. However, there remain great challenges when deploying the biometric technologies in the context of security and forensics applications. Criminals may attempt to invade their identity. More sophisticated criminals may introduce the biometrics of innocent individuals into a crime scene in order to confuse the forensics investigation; this is called ‘anti-forensics’.
The face plays a key role in many real-world applications such as security systems, human computer interaction, remote monitoring of patients, video annotation, and gaming. Having detected the face, pattern recognition techniques and machine learning algorithms are applied to facial images, for example, to find the identity of a subject or analyze her/his emotional status. Though face and facial expression recognition in still images and in ideal imaging conditions have been around for many years, they have been less explored in video sequences in uncontrolled imagining conditions. Developing face and facial expression recognition algorithms for real-world scenarios, for instance, for remote patient monitoring or for identification in surveillance videos are still challenging tasks.
Research on soft biometrics is still in its infancy despite the vast potential applications. This one-day workshop will bring together researchers working not only on soft biometrics but also on related disciplines to present and discuss the recent developments in the field. The event aims also at encouraging exchanges, interactions and potential collaboration between the potential participants. The workshop will hopefully open a debate on new opportunities and new challenges in the area, and at unifying the efforts toward the development of adequate tools, protocols and databases for evaluating and monitoring the progress in the field of soft biometrics. To the best of our knowledge, this is the first workshop devoted to the emerging topic of soft biometrics.
BIOMET 2014 is intended to provide a forum to present current work and new ideas in this challenging field. It renovates and continues the Biometrics tradition (2007-2010) of the CompSysTech International Conferences, one of the longest running international conferences in computer science in Bulgaria that started in 2000. At the same time, BIOMET 2014 is primarily connected with the goals of the IICT-BAS’s AComIn project to disseminate recent advances in Biometrics among the research groups and companies in Bulgaria and Balkan countries as well.
In the last decade, research on the automated recognition of people has evolved to cover a large number of applications. From the early days, when security was the driving force behind biometric research, today’s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Forensic science, and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today “Biometrics”.