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2007
Springer

Handwritten Greek Character Recognition with Learning Vector Quantization

11 years 6 months ago
Handwritten Greek Character Recognition with Learning Vector Quantization
Abstract. This paper presents a handwritten Greek character recognizer. The recognizer is composed of two modules: the first one is a feature extractor, the second one, the classifier, is performed by means of Learning Vector Quantization. The recognizer, tested on a database of more than 28000 handwritten Greek characters, has shown satisfactory performances.
Francesco Camastra
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where KES
Authors Francesco Camastra
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