A new hybrid approach in combining multiple experts to recognise handwritten numerals
Identifieur interne : 002382 ( Istex/Corpus ); précédent : 002381; suivant : 002383A new hybrid approach in combining multiple experts to recognise handwritten numerals
Auteurs : A. F. R. Rahman ; M. C. FairhurstSource :
- Pattern Recognition Letters [ 0167-8655 ] ; 1996.
Abstract
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.
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DOI: 10.1016/S0167-8655(97)00078-0
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Fairhurst</name><affiliation><mods:affiliation>Electronic Engineering Laboratories, University of Kent, Canterbury, Kent, CT2 7NT, United Kingdom</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:71FA78ED2AD9EAF5E28116F149F095BE530F454E</idno><date when="1997" year="1997">1997</date><idno type="doi">10.1016/S0167-8655(97)00078-0</idno><idno type="url">https://api.istex.fr/document/71FA78ED2AD9EAF5E28116F149F095BE530F454E/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002382</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">A new hybrid approach in combining multiple experts to recognise handwritten numerals</title><author><name sortKey="Rahman, A F R" sort="Rahman, A F R" uniqKey="Rahman A" first="A. F. R." last="Rahman">A. F. R. Rahman</name><affiliation><mods:affiliation>Electronic Engineering Laboratories, University of Kent, Canterbury, Kent, CT2 7NT, United Kingdom</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: afrrl@ukc.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Fairhurst, M C" sort="Fairhurst, M C" uniqKey="Fairhurst M" first="M. C." last="Fairhurst">M. C. 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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.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>A.F.R. Rahman</name><affiliations><json:string>Electronic Engineering Laboratories, University of Kent, Canterbury, Kent, CT2 7NT, United Kingdom</json:string><json:string>E-mail: afrrl@ukc.ac.uk</json:string></affiliations></json:item><json:item><name>M.C. 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