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Published in:
2007 | OriginalPaper | Chapter
Handwritten Greek Character Recognition with Learning Vector Quantization
Author : Francesco Camastra
Published in: Knowledge-Based Intelligent Information and Engineering Systems
Publisher: Springer Berlin Heidelberg
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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.