Biometric technology for mobile devices has gained rapid scientific growth in the recent period of time, with many complete systems based on a variety of modalities and traits. Currently, biometric authentication is not only used for unlocking phones, but also for protecting financial assets in payment systems, e.g., Apple Pay. Significant use of biometric traits can be found since the appearance of iPhone 5s in 2013, to date there are more than 700 mobile device types, which have adopted biometric-based authentication. Hence, biometrics for mobile devices has proven to be highly promising and has sparked significant attention from researchers in industry, academia as well as government. Despite that, there are various open, unexplored, and unidentified challenges in the field of biometric technology related to mobile devices. A dedicated special session can be instrumental in attending multidisciplinary efforts. Therefore, this special session is hosted to widen the scope, push forward and document recent advances in mobile biometric as a whole.

Topics of interest include, but are not limited to

  • Biometric technology for mobile devices in different spectrums (NIR, visible, etc.),
  • 2D and 3D Face-based  biometric technology for mobile devices,
  • Fingerprint-based  biometric technology for mobile devices,
  • Iris-based  biometric technology for mobile devices,
  • Sensor development in biometric technology for mobile devices,
  • Database on  biometric technology for mobile devices,
  • Biometric technology for mobile devices at distance,
  • Biomedical application of biometric technology for mobile devices,
  • Ocular-based biometric technology for mobile devices,
  • Information fusion of biometric technology for mobile devices,
  • Adaptability of biometric technology for mobile devices,
  • Physiological measurement technology on mobile devices,
  • Presentation attack and liveness detection in biometric technology for mobile devices, 
  • Multi-biometric technology for mobile devices,
  • Mobility in biometrics.

Submission Guidelines

Submissions should be done following the BTAS-2018 proceedings style. The submission guidelines can be found at https://www.isi.edu/events/btas2018/paper_submission_guidelines

All accepted papers of the Special Session will be included in the BTAS2018 Proceedings. 


In addition, we also plan to organise a special issue in a journal with the extended version of accepted special session papers.


Please submit your papers at:  https://cmt3.research.microsoft.com/RABTMD2018


Important Dates

Full Paper Submission: Aug 26th, 2018 (final extension)

Acceptance Notification: Sep 10th, 2018

Camera-Ready Paper Due: Sep 15th 2018

Workshop: Oct 22nd 2018 (Half-day)


Organizers

Prof. Jean-Luc Dugelay (Professor, EURECOM in Sophia Antipolis, France)

Prof. Raghavendra Ramachandra (Professor, Norwegian Biometric Laboratory,  NTNU, Norway)

A/Prof. Hu Han (Associate Professor, CAS, China)

Dr Abhijit Das (Post-Doc Researcher, STARS, Inria Sophia Antipolis – Méditerranée, France)

Dr Antitza Dantcheva (Post-Doc Researcher, STARS, Inria Sophia Antipolis – Méditerranée, France)

Dr Chiara Galdi (Research Associate, EURECOM, France)


Keynote Speaker

Prof. Arun Ross (Michigan State UniversityWeb: http://iprobe.cse.msu.edu/ Email: rossarun@cse.msu.edu 

Title:

Biometrics and Smartphones: Opportunity meets Vulnerability 

Abstract: This talk will introduce the concept of “Selfie Biometrics” and describe the progress that has been made to acquire and process biometric data using sensors and processors implicitly available in contemporary smartphones. First we will discuss the use of face, fingerprint, iris and ocular traits for user authentication in smartphones. Next, we will discuss methods to detect presentation attacks, where an adversary attempts to use altered or synthetic traits to circumvent the biometric authentication module of a smartphone. Then, we will discuss a particular vulnerability - referred to as the “MasterPrint attack” - that exploits the use of small-sized fingerprint sensors in smartphones and other devices. Finally, we will present a method that combines device authentication with user authentication in order to enhance the security of smartphone-based transactions. The goal of this talk is to communicate the potential of using biometrics in the smartphone domain while at the same time being aware of the pertinent vulnerabilities. 

Bio: Arun Ross is a Professor in the Department of Computer Science and Engineering at Michigan State University, and is the Director of the Integrated Pattern Recognition and Biometrics (iPRoBe) Lab. He conducts research on the topic of biometrics, privacy, computer vision and pattern recognition. He is a recipient of the JK Aggarwal Prize and the Young Biometrics Investigator Award from the International Association of Pattern Recognition for his contributions to the field of Pattern Recognition and Biometrics. He was designated a Kavli Fellow by the US National Academy of Sciences by virtue of his presentation at the 2006 Kavli Frontiers of Science Symposia. Ross is also a recipient of the NSF CAREER Award, the 2005 Biennial Pattern Recognition Journal Best Paper Award and the Five Year Highly Cited BTAS 2009 Paper Award. He is a co-author of the monograph “Handbook of Multibiometrics” and the textbook “Introduction to Biometrics”. 

Program Committee

Arun Ross
Andreas Uhl
Ajita Rattani

Aythami M. Moreno
Brian Lovell
Cunjian Chen
Christophe Rosenberger
Daniel Riccio
Daniel Ramos
Fabio Narducci
Fernando Alonso-Fernandez
Gian Luca Marcialis

Hugo Proença
Julian Fierrez
Kiran B. Raja
Michele Nappi
Marta Gomez-Barrero
Mohamed Daoudi
Nesli Erdogmus
Naser Damer
Rubén Vera
Ross Beveridge
Sambit Bakshi
Silvio Barra
William Schwartz