Machine Learning Methods in Character Recognition
Identifieur interne : 000387 ( Main/Exploration ); précédent : 000386; suivant : 000388Machine Learning Methods in Character Recognition
Auteurs : Lev Itskovich [Russie] ; Sergei Kuznetsov [Russie, États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: In this paper we consider applications of well-known numerical classifiers to the problem of character recognition (optical character recognition, OCR). We discuss the requirements which these classifiers should meet to solve this problem. Various modifications of well-known algorithms are proposed. Recognition rates of these classifiers are compared on real character datasets.
Url:
DOI: 10.1007/978-3-642-21881-1_50
Affiliations:
- Russie, États-Unis
- District fédéral central, État de New York
- Ithaca (New York), Moscou
- Université Cornell
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<front><div type="abstract" xml:lang="en">Abstract: In this paper we consider applications of well-known numerical classifiers to the problem of character recognition (optical character recognition, OCR). We discuss the requirements which these classifiers should meet to solve this problem. Various modifications of well-known algorithms are proposed. Recognition rates of these classifiers are compared on real character datasets.</div>
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