Text Extraction from Captured Image and Conversion to Audio for Smart Phone Application

Main Article Content

Sneha V. Deshmukh, Jaishree M. Kamble, Abhilasha B. Kharate, Pooja G. Deo, Supriya A. Khadasne, Prof. V. B. Gadicha

Abstract

Text extraction from captured image by smart phone is difficult task due muddle background and non-textual portion. Again the text is in a variety of fonts, styles, sizes, and having different words where every word may contain different characters in dissimilarities of text patterns. If we can ignored the problems of muddle background and text separation for the some instant, again there are several other reasons as font style and variations in size word by word or character by character; background as well as foreground colour; camera position which can lead distortions; brightness and image resolution. The proposed technique is firstly, Capture the image from mobile camera and it is a color image. Then the colour image is converted into gray scale image and then gray scale image is converted into binary image. This binary image is gives to the Optical character recognition (OCR) engine which recognize and extract the text from image and gives to the Text to Speech (TTS) engine. The Text to Speech engine is converting the text into audio.

Article Details

How to Cite
, S. V. D. J. M. K. A. B. K. P. G. D. . S. A. K. P. V. B. G. (2016). Text Extraction from Captured Image and Conversion to Audio for Smart Phone Application. International Journal on Recent and Innovation Trends in Computing and Communication, 4(3), 511–516. https://doi.org/10.17762/ijritcc.v4i3.1929
Section
Articles