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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Camastra, F. (2007). Handwritten greek character recognition with learning vector quantization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4694 LNAI, pp. 267–274). Springer Verlag. https://doi.org/10.1007/978-3-540-74829-8_33
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