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Digits are used in different types of data like vehicle number plate, numeric data, written data, meter reading, etc. Digit recognition plays an important role in many user authentication applications in the modern world. In this paper, back propagation neural network based digit recognition system has been developed. Such system has four phases: preprocessing, segmentation, feature extraction and classification. When digit image is scanned, quality of image is degraded and some noise is added into this image. So, it is necessary to reduce the noise and improve the quality of the digit image for OCR system.
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