Published October 2018
| Version v1
Conference paper
Recent Advances in Biometric Technology for Mobile Devices
- Others:
- Spatio-Temporal Activity Recognition Systems (STARS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Eurecom [Sophia Antipolis]
- Chinese Academy of Sciences [Beijing] (CAS)
- Norwegian University of Science and Technology [Trondheim] (NTNU) ; Norwegian University of Science and Technology (NTNU)
- A. Das was supported by the research program FER4HM funded by Inria and CAS. C. Galdi and J.-L. Dugelay were supported by the EU Horizon 2020 research and innovation programme under grant agreement No. 700259. H. Han was supported by the External Cooperation Program of CAS (grant GJHZ1843). R. Raghavendra was supported by the Research Council of Norway under Grant No. IKTPLUSS 248030/070. A. Dantcheva was supported by the French Government (National Research Agency, ANR) under grant agreement ANR-17-CE39-0002.
- ANR-17-CE39-0002,ENVISION,Analyse Holistique automatique d'individus par des techniques de vision par ordinateur(2017)
- European Project: 700259,H2020,H2020-BES-2015,PROTECT(2016)
Description
The prevalent commercial deployment of mobile biometrics as a robust authentication method on mobile devices has fueled increasingly scientific attention. Motivated by this, in this work we seek to provide insight on recent development in mobile biometrics. We present parallels and dissimilarities of mobile biometrics and classical biometrics, enumerate related benefits and challenges. Further we provide an overview of recent techniques in mobile biometrics, as well as application systems adopted by industry. Finally, we discuss open research problems in this field.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01894140
- URN
- urn:oai:HAL:hal-01894140v1
- Origin repository
- UNICA