Face, as a typical biometric trait, has been used in many biometric systems for identity verification/recognition. However, a face recognition system is vulnerable to spoofing attacks. The research will investigate possible anti-spoofing mechanisms to such attacks and develop relevant algorithms to counter the spoofing attacks. The investigation will span from sensors, illumination, images, and recognition algorithms. Image analysis techniques, as well as physical optics are expected to be employed in the research. The results of the research will be used for preventing face recognition systems from spoofing attacks. Hence to improve the reliability of the face recognition system.
School of Systems Engineering, University of Reading:
The University of Reading is one of the UK’s 20 most research-intensive universities and is ranked in the world’s top 200 universities according to the 2013/14 Times Higher Education World University Rankings. Achievements include the Queen’s Award for Export Achievement (1989) and the Queen’s Anniversary Prize for Higher Education (1998, 2006 and 2009). The School of Systems Engineering has a strong reputation for its innovative research in computer science and information systems, cybernetics, and electronic engineering. Our research is highly-regarded nationally and internationally, with demonstrated real-world impact.
Applicants should have a bachelor’s (at least 2.1 or equivalent) or masters degree in Computer Science or a strongly related discipline. Strong mathematical and programming skills are preferable. Experience in image analysis and biometrics are desirable.
We are currently seeking outstanding applicants to put forward for the prestigious Felix Scholarships. Please see http://www.reading.ac.uk/gs-felix.aspx for details.
How to apply:
(1) Submit an application for a PhD in Computer Science using the link below.
(2) After submitting your application you will receive an email to confirm receipt; email should be forwarded along with a covering letter and full CV to Dr Hong Wei ([email protected]
(3) In the online application system, there is a section for “Research proposal” and a box that says “If you have already been in contact with a potential supervisor, please tell us who” – in this box, please enter “Dr. Hong Wei”.
Applications accepted all year round.
Dr. Hong Wei, tel: 44 (0)1183788608, email: [email protected]