Multiple Classifier Systems in Biometrics
- When?
- Wednesday 5 March 2008, 14:00 to 15:00
- Where?
- 39BB02
- Open to:
- Staff, Students
Professor Josef Kittler, University of Surrey
Abstract:
The performance of pattern recognition systems can be improved by drawing on the consensus of opinions provided by multiple pattern recognition experts. The problem of designing multiple classifier systems is discussed and a generic architecture, supporting both intra-modal and multimodal fusion, is developed. The effectiveness of multiple classifier systems is illustrated by several studies in personal identity authentication using biometrics.
Notes:
Professor Josef Kittler heads the Centre for Vision, Speech and Signal Processing at the School of Electronics and Physical Sciences, University of Surrey. He received his BA, PhD and DSc degrees from the University of Cambridge in 1971, 1974 and 1991 respectively. He teaches and conducts research in the subject area of Machine Intelligence, with a focus on Biometrics, Video and Image Database retrieval, and Cognitive Vision.
