Optical Character Recognition
Ravina Mithe1, Supriya Indalkar2, Nilam Divekar3

1Ms. Ravina Mithe, Department of Computer Science, JSPM’s BSIOTR, Pune (M.H), India.
2Ms. Supriya Indalkar, Department of Computer Science, JSPM’s BSIOTR, Pune (M.H), India.
3Ms. Nilam Divekar, Department of Computer Science, JSPM’s BSIOTR, Pune (M.H), India.

Manuscript received on 21 March 2013 | Revised Manuscript received on 28 March 2013 | Manuscript published on 30 March 2013 | PP: 72-75 | Volume-2 Issue-1, March 2013 | Retrieval Number: A0504032113/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Optical Character Recognition is a mobile application. It uses smart mobile phones of android platform. This paper combines the functionality of Optical Character Recognition and speech synthesizer. The objective is to develop user friendly application which performs image to speech conversion system using android phones. The OCR takes image as the input, gets text from that image and then converts it into speech. This system can be useful in various applications like banking, legal industry, other industries, and home and office automation. It mainly designed for people who are unable to read any type of text documents. In this paper, the character recognition method is presented by using OCR technology and android phone with higher quality camera.
Keywords: Binerization, Optical Character Recognition, Pattern Matching, Segmentation, Tesseract, Text Extraction.

Scope of the Article: Optical Devices