Foreground-Background Segmentation of OCR Labels by a Single Layer Recurrent Neural Network
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چکیده
Optical character recognition (OCR) algorithms typically start from a binary label image. The need for a binary image is complicated by the fact that most imaging devices usually produce multiply valued data, a grey scale image. The problem then becomes how to extract the meaningful character data from the grey scale image. Image artifacts such as dirt, variations in background intensity, and imaging noise complicate the character extraction.
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تاریخ انتشار 2001