Text Reader for Visually Impaired Person using Image Processing/Open-CV

Author:

Prof. Sunita Chavan 1,Rutika Wandhekar 1,Shraddha Tole 1,Aishwarya Chaukate 1,Aishwarya Chaukate 1

Affiliation:

1. Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India

Abstract

The main issue that visually impaired individuals confront these days is that they are unable to do text recognition on their own, forcing them to rely on others for day-to-day tasks such as reading newspapers, writing letters, referring to books, and so on. This issue may erode their confidence because they are unable to cope on their own. The project's ultimate goal is to assist visually challenged persons with text recognition. This goal is accomplished by creating a module that converts text into speech and speaks it through the provided headphone/speaker. The code is written in Python after importing pytesseract and gtts . For character recognition, this project employs the concept of image processing and the OCR approach.

Publisher

Naksh Solutions

Subject

General Medicine

Reference15 articles.

1. Bindu Philip and r. d. Sudhaker Samuel 2009 “Human machine interface- a smart ocr for the visually challenged” International journal of recent trends in engineering, vol no.3, November.

2. K Nirmala Kumari, Meghana Reddy J [2016]. Image Text to Speech Conversion Using OCR Technique in Raspberry Pi. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 5, Issue 5, May 2016.

3. V. Ajantha devi, dr. Santhosh baboo “Embedded optical character recognition on tamil text image using raspberry pi” international journal of computer science trends and technology (ijcst)” volume 2 issue 4, jul-aug 2014

4. Jaiprakash verma, khushali desai “Image to sound conversion” International journal of advance research.

5. R. Mithe, S. Indalkar and N. Divekar. “ Optical Character Recognition" International Journal of Recent Technology and Engineering (IJRTE)”, ISSN: 2277- 3878,Volume-2, Issue-1,March 2013.

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