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.

• Type: Conference
• Year: 2007
• Where: KES
• Authors: Francesco Camastra
• Keywords: Greek Character Recognizer, Handwritten Greek Characters, KES 2007, Learning Vector Quantization