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Details of Grant 

EPSRC Reference: GR/K68165/01
Title: HIDDEN MARKOV MODELS FOR THE RECOGNITION OF HANDWRITTEN WORDS
Principal Investigator: Illingworth, Professor J
Other Investigators:
Kittler, Professor J
Researcher Co-Investigators:
Project Partners:
Logica
Department: Sch of Electronics & Physical Sciences
Organisation: University of Surrey
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 1995 Ends: 30 November 1998 Value (£): 158,603
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
Hidden Markov modelling has been the major successful method in recent advances in the recognition of continuous speech. Recognition of handwritten words is similar to continuous speech recognition, insofar as both suffer from merging and distortion of basic units: phonemes or characters. Recent work, by authors including the current applicants, has demonstrated the effectiveness of HMMs for recognition of noisy characters. The current proposal intends to extend this work to handwritten or hand printed word recognition. This will involve research into representations for characters and the development of level building schemes to incorporate content.
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Organisation Website: http://www.surrey.ac.uk