Project Details

Mobile Biometry

Project Period: 1. 1. 2008 – 31. 12. 2010

Project Type: grant

Code: 7E08042

Agency: Ministerstvo školství, mládeže a tělovýchovy ČR

Program: Podpora projektů sedmého rámcového programu Evropského společenství pro výzkum, technologický rozvoj a demonstrace (2007 až 2013) podle zákona č. 171/2007 Sb.

Czech title
Mobilní biometrie
Type
grant
Keywords

speaker recognition, face recognition, mobile terminals

Abstract

These days, portable personal devices (PDAs or mobile phones) are widely used. They provide the mobile worker or the customer with portable computing and wireless access to Telecom networks and to the Internet. It is then possible to provide anywhere anytime a natural access to any service, such as PIN code replacement, phone card reloading, remote purchase, telephone banking or voice-mail. Most of these services involve micro payments that can currently be done only using PIN codes or passwords.

To win wide consumer acceptance, their friendly, personalized, interactive interfaces must recognize people in their immediate environment and, at a minimum, know who they are. The conventional means of identification such as passwords, secret codes and personal identification numbers can easily be compromised, shared, observed, stolen or forgotten. In view of this, it appears that the required optimal reliability in determining the identities of users may only be achieved through the use of biometrics (automatically recognising a person using distinguishing traits). Since more and more portable devices are equipped with a microphone and a video camera (while very few devices are equipped with fingerprint or iris scanners), MOBIO will thus focus on multiple aspects of biometric authentication based on face and voice authentication.

Starting from the state-of-the-art systems available from the MOBIO partners, the goal of this project is to study, develop and evaluate bi-modal biometric authentication technologies in the context of portable devices and thus under various realistic conditions.

Team members
Černocký Jan, prof. Dr. Ing. (DCGM) – research leader
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Glembek Ondřej, Ing., Ph.D.
Hubeika Valiantsina, Ing.
Matějka Pavel, Ing., Ph.D. (DCGM)
Schwarz Petr, Ing., Ph.D. (DCGM)
Publications

2013

2012

2011

2010

2009

2008

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