Norman Poh
CVSSP
University of Surrey
Guildford,
Surrey,
GU2 7XH,
United Kingdom
Tel:
+44
1483 68 60 42
Fax:
+44
1483 68 60 31
Short Bio :
Norman Poh received the Ph.D. degree in computer
science in 2006 from the Swiss Federal Institute of
Technology
Lausanne (EPFL),
Switzerland.
He has been a Research Fellow with the Centre for
Vision, Speech, and Signal Processing
(CVSSP
), University of
Surrey, Guildford, Surrey, U.K., since Sept 2006. He is
one of the Work-Package Leaders in the Mobile Biometry
(MOBIO)
project (2008-2010), responsible for designing
adaptive multimodal biometric systems. Prior to joining CVSSP, he was a
research assistant at IDIAP
research institute.
His areas
of interest are pattern recognition, video processing,
biometric authentication, and information fusion, in
which he has authored more than 50 peer-reviewed publications.
He was the recipient of five best paper awards (AVBPA’05, ICB’09, HSI
2010, ICPR 2010 and
Pattern Recognition Journal 2006) and two personal research grants from
the
Swiss National Science Foundation. He won the Researcher of the Year 2011 Award, University of Surrey. Dr Poh is recognised as an IEEE Certified Biometrics Professional (IEEE CBP).
Researcher Expertise
Biometric person authentication is an emerging
field that aims to recognise a person based on his/her biometric
features. Examples are face, speech and fingerprint. Because no system
can provide 100% accuracy, we aim to improve the system robustness
using several biometrics, also known as multimodal biometric systems.
We can provide expertise/training
in general
pattern recognition as well as in the following areas
(related to
person authentication):
biometric template-updating,
analysis of biometric system performance change over time,
confidence interval estimation/generalization of biometric
performance (over different population types, environment, application
scenarios)
incorporating quality information into biometric systems,
and
The XM2VTS Score-level
Fusion Benchmark Dataset [more than 220 downloads!
The associated journal paper received an honorable
mention for the 2005-2006 Biennial Pattern Recognition Journal Awards]
Software to Download
The
software comes without any warranty. It is provided as Matlab p-code.
If you require the source codes, please drop me an email me.