Research Article
An Optical Character Recognition Framework based Newspaper Reader Application for Blind
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314975, author={Sundar C and Abinaya O and Ajithkumar V}, title={An Optical Character Recognition Framework based Newspaper Reader Application for Blind}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={ocr blind newspaper mobile app reader tts illiterate python flask android}, doi={10.4108/eai.7-12-2021.2314975} }- Sundar C
Abinaya O
Ajithkumar V
Year: 2021
An Optical Character Recognition Framework based Newspaper Reader Application for Blind
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314975
Abstract
One of humanity's greatest disadvantages is having a visual handicap and being illiterate or having a learning disability. This paper addresses this shortcoming and gives promise of making newspapers available on daily basis to the blind people using mobile application. There is a demand for an acceptable and easily accessible newspaper reader for the visually impaired society. In this work, newspaper images are converted into audio using in character recognition, artificial intelligence and computer vision. The recognition process is carried-out using python’s Optical Character Recognition (OCR) and OPENCV libraries. This system is divided into three modules: image processing for object count, picture cropping, and image reading. A collection of frameworks for OCR and Text to Speech Synthesis (TTS) have been combined, allowing a user to capture a photo with a smart phone and hear the text in the picture.
