A new hybrid approach in combining multiple experts to recognise handwritten numerals

Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael (1997) A new hybrid approach in combining multiple experts to recognise handwritten numerals. Pattern Recognition Letters, 18 (8). pp. 781-790. ISSN 0167-8655. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Hand written numeral recognition is an area of pattern recognition that has applications in numerous fields including automated postal sorting, automatic bank cheque processing, hand written document analysis and so on. Recently, the potential advantages of using multiple experts in a unified structure have been demonstrated in addressing the problem of classification of hand written numerals. The motivation behind this paper is to implement a new approach to the solution of the problem of combining the decisions made by multiple experts, by making use of the restrictive and repetitive nature of the numeral structures and combining the a priori knowledge of the expected numeral classes that are to be processed and recognised with that derived from the training samples. (C) 1997 Elsevier Science B.V.

Item Type: Article
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: T.J. Sango
Date Deposited: 21 May 2009 09:14
Last Modified: 19 May 2014 11:00
Resource URI: https://kar.kent.ac.uk/id/eprint/17890 (The current URI for this page, for reference purposes)
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