Abstract: In this paper we give a survey of handwritten character recognition methods. These methods are based on neural network, self organizing map, statistical methods etc. We also give an overview of fundamentals of handwritten character recognition. We describe modern and popular approaches for handwritten character recognition. Their strengths and weaknesses are also compared.

Keywords: Character recognition, feature extraction, neural network, optical character recognition.