Handwritten Recognition Using Neural Network
The problem of handwritten recognition considered to be very important problem because of its numerous applications and theoretical values in the domain of pattern recognition.In this research, models of Neural Networks are used to recognize written characters, applying Artificial Neural Network (ANN) of three types, which are: - Kohenen All Classes in One Network (ACON), Kohenen One Class in One Network(OCON), and Learning Vector Quantization (LVQ).The feature extraction process made use of Haar Wavelet Transformation to extract the parametric features of the