The biggest challenge faced by the blind people, is their inability to view real life objects and to read. The only efficient system that exists so far, is the braille system, that enables the blind to read. This system is time consuming and the time taken to recognize the text is long. Our aim here is to reduce the time taken to read. In our work, using a Raspberry Pi, we have designed a smart reader, so that the blind people may read. The module that we have designed, either uses a webcam or

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... mobile camera that is linked with a Raspberry Pi, to focus on a range of printed text. The OCR (Optical Character Recognition) package installed in raspberry pi tests it into a digital article which is then subjected to skew modification, segmentation, before feature extraction to perform sorting. Our proposed project automatically focuses the regions of text in the object, after which the text characters are then localized using a localization algorithm, that uses feature recognition and edge pixel distribution using artificial neural network. The text characters are then binarized into a machine readable form by using an OCR algorithm called as Tesseract. The recognized characters of the text are then converted into audio format, so that they may be recognized by the blind users.