[visionlist] PhD fellowship on Multimodal hand biometric recognition system under uncertain reasoning available at the Normandie Université, France
christophe.charrier at unicaen.fr
Tue Apr 2 09:14:31 -04 2019
Please circulate the following advertisement to interested Masters
One PhD fellowship is available at the GREYC Lab, Normandie University,
Pr. Christophe Charrier is offering one PhD fellowship on multimodal
hand biometric recognition system under uncertain reasoning.
The E-payment & Biometrics reserach unit conducts research activities in
biometrics, particularly on the design of biometric systems as an
authentication solution for a secure electronic transaction. Biometric
authentication is an interesting solution for one part to enhance the
security of a logical access to any information system and another part
to simplify the use for a user. GREYC is recognized for its work on
biometric behavioral systems (dynamic keystrokes, dynamic interaction
with touch screens, and so on), the update of user's biometric model to
take into account behavioral changes (Romain Giot's thesis) or the
evaluation of biometric systems (Mohamad El Abded's thesis).
In this context, a fully funded PhD fellowship is proposed between the
GREYC Laboratory (Caen, France) and the Moduleus Company (Tours, France)
for a three-year co-localised position. The successful candidate will
work under the supervision of Dr. Christophe Charrier (GREYC) and Adrien
Bailly (Moduleus Cie.).
Biometrics consist in identifying or verifying the identity of
individual in an automatic way. The recognition of an individual is
usually a non-invasive, fast and easy-to-use solution. It is possible to
extract multiple information such as facial shape, veins of the hand
(from a near infrared acquisition), fingerprints, and so on.
The proposed PhD subject will investigate how to develop an original and
robust method to recognize and identify individual from the combination
of only biometric hand data to ensure a high level of identification for
a biometric system. At this time, existing methods do not guarantee a
high level of identification: the aim is then to develop a method that
will serve as an international reference for both academic research and
A non-intrusive ultrasound-based method will be used to acquire
different biometric elements of the epidermis as well as the different
dermal layers of the hand or of any part of the body in a
semi-simultaneous manner. For each acquired layer, an extraction process
of the most relevant information associated to a confidence index (and
or quality) will be investigated and designed. Finally, a process of
combining different biometric elements under uncertain reasoning will be
studied in order to make the final decision. The developed method can be
extended to evaluate the evolution through time of individual's
biometric parameters in the context of medical applications.
Applications should include the following:
• Letter of interest
• Official transcripts (with grades and ranking) for Master 1 and
Master 2 (or equivalent)
• Scientific CV
• List of publications (if any)
• Name & contact information of at least 2 Referees
*Application deadline: June 15th (application will be processed on the
*PhD start:* October/November 2019.
This position is subject to security clearance because of the ZRR
qualification of the lab.
*Place: * GREYC Lab, UMR CNRS 6072, E-payment & Biometrics research
unit, Caen, France
Moduleus, Tours, France
Salary : ~1800 euros monthly gross salary .
Christophe Charrier, Assoc. Pr
Normandie Université, GREYC UMR CNR 6072
christophe.charrier at unicaen.fr
adrien.bailly at moduleus.com
Maître de Conférences HDR, Normandie Université, UNICAEN
Research | Teaching
GREYC Lab., UMR CNRS 6072. | Cherbourg Institute of Technology
Campus 2, 6 bd. Mal Juin. | Multimedia and Internet Dept.
F-14032, Caen | 120, rue de l'exode
| F-50000, Saint-Lô
Tel: +33 2 31 53 81 80 | +33 2 33 77 55 12
URL : https://charrierc.users.greyc.fr/
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