Abstract:Abstract-This manuscript considers a new architecture to handwritten characters recognition based on simulation of the behavior of one type of artificial neural network, called the Error Back Propagation Artificial Neural Network (EBPANN). We present an overview of our neural network to be optimized and tested on 12 offline isolated Arabic handwritten characters ،ش،ط،غ،ف،ك،م،و،ي( )ا,ت,ج،ذ because the similarity of some Arabic characters and the location of the points in the character. Accuracy of 93.61% is… Show more
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