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The present paper has introduced an innovative, efficient and real time cost beneficial technique that enables user to hear the contents of text images instead of reading through them. Visual impairment is one of the biggest limitation for humanity, especially in this day and age when information is communicated a lot by text messages (electronic and paper based) rather than voice. The device we have proposed aims to help people with visual impairment. In this project, we developed a device that converts an image’s text to speech. The basic framework is an embedded system that captures an image, extracts only the region of interest (i.e. region of the image that contains text) and converts that text to speech. It is implemented using a Raspberry Pi and a Raspberry Pi camera. The captured image undergoes a series of image pre-processing steps to locate only that part of the image that contains the text and removes the background. Two tools are used convert the new image (which contains only the text) to speech. They are OCR (Optical Character Recognition) software and TTS (Text-to-Speech) engines. The audio output is heard through the raspberry pi’s audio jack using speakers or earphones.


OCR, image pre-processing, embedded system, raspberry Pi, TTS, text extraction, voice processing.

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How to Cite
Himangi A. Badwaik, Gunjan R. Balpande, Prof. A. I. Rokade, and Shraddha N. Nagrale, “REPLICA TO SPEECH RECLAMATION FOR VISUALLY IMPAIRED”, IEJRD - International Multidisciplinary Journal, vol. 4, no. 6, p. 4, Sep. 2019.