1 research outputs found
A SVM GREEK CHARACTER RECOGNISER
ABSTRACT
This paper presents a handwritten Greek character recognizer based
on Support Vector Machines (SVMs) . The recognizer is composed of
two modules: the first one is a feature extractor, the second one, the
classifier, is performed by means of SVMs. The recognizer, tested on a database of more than 22000 handwritten Greek characters, has shown
satisfactory performances. SVMs compare notably better, in terms of
recognition rates, with popular neural classifiers, such as Learning Vector Quantization and Multi-layer Perceptron