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Norman Poh
CVSSP
University of Surrey
Guildford,
Surrey,
GU2 7XH,
United Kingdom
Tel: +44 1483 68 60 42  
Fax: +44 1483 68 60 31  
email 
 

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
  • user/client-specific processing

What's new


Datasets to Download


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.

Presentation to Download


Collaborators