Abstract: This paper explains the automated document reader for blind people with the help of Raspberry Pi. This process takes place with the help of Optical Character Recognition (OCR) technology for identification of the printed characters using image sensing devices and computerized programming. It converts images of typed, handwritten, or printed text into machine encoded text with the help of OCR. In this research these images are converted into audio output (Speech)with the help of OCR and Text-to-speech synthesis. The conversion of printed document into text files is done with the help of Raspberry Pi which again uses Tesseract library and Python programming. The text files are processed with the help of OpenCV library and python programming language and hence the audio output is obtained.

Keywords:  Character recognition, Low power, Document Image Analysis (DIA), Raspberry Pi 3B, Speech Output, OCR based book reader, OpenCV, Python Programming.

| DOI: 10.17148/IJIREEICE.2019.8311