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.
Handwritten Greek Character Recognition with Learning Vector Quantization
CAMASTRA, Francesco
2007-01-01
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.File in questo prodotto:
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