ICBEA 2018          Full Paper Submission Deadline: 25th March 2018     Conference Dates: 16th - 18th May 2018      Conference Place: Amsterdam, The Netherlands


Amsterdam, The Netherlands




Keynote Speaker

Prof. Raymond Veldhuis
University of Twente, The Netherlands

Raymond Veldhuis graduated from The University of Twente, The Netherlands in 1981. From 1982 until 1992 he worked as a researcher at Philips Research Laboratories in Eindhoven in various areas of digital signal processing. In 1988, he received the PhD degree from Nijmegen University on a thesis entitled Adaptive Restoration of Lost Samples in Discrete-Time Signals and Digital Images. From 1992 until 2001 he worked at the IPO (Institute of Perception Research) Eindhoven in the field of speech processing. Raymond Veldhuis is now a full professor in Biometric Pattern recognition at The University of Twente, where he is leading a research group in this field. The main research topics are face recognition (2D and 3D), fingerprint recognition, vascular pattern recognition, multibiometric fusion, and biometric template protection. The research is both applied and fundamental.

Speech Title: " Forensic Face Recognition, How Pattern Recognition Can Support the Forensic Examiner"

Abstract: In this presentation we will show how properly designed classifiers can support the task of a forensic examiner to compare the images of two faces. We will pay attention to a semi-automatic method to compare facial marks and on how the result can be expressed in a likelihood ratio in order to quantify the evidential value. In addition we will illustrate to what extend forensic facial comparison is different from biometric facial comparison as used in for instance access control.

Dr. Richard Guest
University of Kent, UK

Dr. Richard Guest is Reader in Biometric Systems Engineering at the University of Kent. His research interests lie broadly within image processing and pattern recognition, specializing in biometric and forensic systems, particularly in the areas of image and behavioral information analysis, standardization and document processing. He has significant involvement with biometric standards development as Panel Chair of the UK BSI IST/44 Working Group on Biometric Technical Interfaces and as UK Principal Expert to ISO/IEC in this area representing the UK industrial, governmental and academic interests. He has over 100 peer-reviewed publications, acted as editor of 3 international standards and has obtained funding from UK EPSRC, ESRC, EU, charitable funds and industry. He is the Project Coordinator of the AMBER EU Marie Curie ITN on mobile biometrics systems.

Speech Title: "Mobile Biometrics: Challenges and Opportunities"

Abstract: The use of biometric systems are becoming ever more widespread, especially on mobile computing devices such as tablets and smartphones. Conventional research into biometric systems has focussed on the development of algorithmic solutions to enhance verification and identification of subjects with solutions being used in predominantly ‘fixed’ implementations, where sensors and systems are deployed in controlled situations. The transition of biometric systems to mobile devices is not straightforward however as, by their very nature, devices can be used in many different environments. Minimising environmental effects and interaction problems are critical as biometrics become ubiquitous – particularly given the wider user-base and usage frequency. Balancing these challenges are the range of novel mobile device sensors and data that may be utilised to enhance personal security and authentication for the user. In this presentation we shall explore the key opportunities and challenges for future research within mobile biometrics, addressing issues such as continuous authentication, multimodality, interaction and vulnerability assessment.

Plenary Speaker I

Assoc. Prof. Aythami Morales Moreno
Universidad Autonoma De Madrid, Spain

Aythami Morales Moreno received his M.Sc. degree in Telecommunication Engineering in 2006 from Universidad de Las Palmas de Gran Canaria. He received his Ph.D degree from La Universidad de Las Palmas de Gran Canaria in 2011. He performs his research works in the BiDA Lab - Biometric and Data Pattern Analytics Laboratory at Universidad Autónoma de Madrid, where he is currently an Associate Professor. He has performed research stays at the Biometric Research Laboratory at Michigan State University, the Biometric Research Center at Hong Kong Polytechnic University, the Biometric System Laboratory at University of Bologna and Schepens Eye Research Institute (Harvard Medical School). His research interests include pattern recognition, computer vision, machine learning and biometrics signal processing. He is author of more than 70 scientific articles published in international journals and conferences. He has received awards from ULPGC, La Caja de Canarias, SPEGC, and COIT. He has participated in 7 National and European projects in collaboration with other universities and private entities such as UAM, UPM, EUPMt, Accenture, Unión Fenosa, Soluziona and so on.

Speech Title: "Behavioral Biometrics based on Human-Device Interaction"

Abstract: Behavioral biometrics include technology that identifies people by something that we do, rather than by what we are (e.g., fingerprint, face), what they have (e.g. card, token) or what they know (e.g. password). Behavioral biometrics emerge as a feasible way to model human interaction with electronic devices (smartphones, computers, tablets). Behavioral patterns can be used to statistical modelling users in terms of identity, age, and actions by means of existing sensors (mouse, keypad, touch screen…). Main advantages of behavioral biometrics are the transparent modelling and continuous authentication. Some of the main drawbacks are the high intra-class variability, short utterances and limited performance. This keynote will survey some of the most promising behavioral biometrics including its main challenges, applications and research opportunities.




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