Machine printed character recognition system using feature point extraction and neural network classifier
Camacho Jara, Shanir
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Optical Character Recognition has become the aim of many research studies in the last decades, and that is just because its great influence in many industries such as banking, shipping, commerce, communications, marketing, license plate recognition, etc. Due to the great importance and promising future of this field, the purpose of this work is to introduce a system that, using feature character extraction and neural network classifier trained with the Back-propagation algorithm, is able to recognize machine printed English characters.
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