Optical Character Recognition for Isolated Offline Handwritten Devanagari Numerals Using Wavelets
نویسنده
چکیده
This paper presents a method of recognition of isolated offline handwritten Devanagari numerals using wavelets and neural network classifier. This method of optical character recognition takes the handwritten numeral image as input. After pre-processing, it is subjected to single level wavelet decomposition using Daubechies-4 wavelet filter. This wavelet decomposition allows viewing the input numeral at multiple resolutions. The Low-Low band components are used as inputs to multilayer perceptron (MLP) classifier. The feed forward back propagation algorithm is used for classification of the input numeral. Keywords—back propagation algorithm, classifier, multiple resolution, multilayer perceptron, optical character recognition, pattern recognition, pre-processing, wavelet decomposition
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