Applying Neural Networks to Character Recognition
نویسنده
چکیده
This paper explores the application of neural networks to the problem of identifying machine printed characters in an automated manner. In particular, a backpropagation net is trained on an eighty-four character font and tested on two other fonts. Its results are compared against results obtained on the same data by a more traditional approach.
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تاریخ انتشار 1992