Kazimali M Khaki
Email: kazimali.khaki@brunel.ac.uk
Office: Desk 004, Room H300, Howell Building
PhD Supervisor: Prof. John Stonham
Research Area: Face Recognition
Academic Qualification:
- B.SC (Hon) Electronic and Microelectonic Engineering, Brunel University, Uxbridge, London, UK
Research Interests: Artificial Intelligence, Neural Networks, Face Recognition, Face Detection, Pattern Recognition
PhD Research:
Conventional methods of Face Recognition rely on feature extraction from the image and subsequent recognition. The feature extraction is a complex problem and not entirely error-free, and therefore compromises the subsequent recognition performance, preventing the successful application of face based biometrics to high security applications.
Modern technology allows a direct interface between a camera and a digital neural net with information being captured at the pixel level. This offers the potential for the network to evolve its functionality from pixel-based data and therefore offers the potential to remove the problematic feature extraction stage. Resulting in enhanced performance.
The methodology developed can be applied either to face recognition where one seeks to identify a given face from a limited population or face verification where the aim is to confirm the identity of a single face. The latter offers an attractive biometric alternative to the use physical keys or electronic passwords.
