Intelligent Recognition

Automation of processes which contain a high degree of signal variability or nonlinearity continues to challenge the international research community. These challenges are particularly dominant in processes where human interaction is involved, such as handwriting and speech recognition, natural language processing and manually-intervened industrial processes.

Research in Intelligent Recognition has focused on investigating the various means of intelligent combination of knowledge extracted from multiple complementary sources to tackle these challenges.

The research includes:

investigation of handwritten script and text recognition supported by natural language processing
development of methods for knowledge acquisition
intelligent data analysis
multimedia and multimodal interfaces using speech and eye-gaze
natural language interfaces for intelligent tutoring, automated assessment, and hypertext authoring.

The group actively collaborates with other national and international research centres as well as participation in specialist interest work of professional bodies such as the BCS and IEE. The research is supported by a variety of funding bodies such as the Research Council, Her Majesty’s Government and The Royal Mail.