By Topic

Extraction of texts from a scene Image using morphology based approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Uddin, M.S. ; Dept. of Comput. Sci. & Eng., Jahangirnagar Univ., Dhaka, Bangladesh ; Sultana, M. ; Rahman, T. ; Busra, U.S.

Existing texts play an important role in understanding a scene image. Scene images differ from document images, which are composed of text characters of various size, shape, direction and situation along with complicated backgrounds, such as map, picture or painting, etc. Hence, the extraction of texts in scene images is a difficult as well as challenging task. Recently, mathematical morphology based algorithm finds applications to extract texts from scene images. In this paper we worked on a modified morphological filter to improve extraction accuracy. Due to insufficiency of a single threshold value, we have divided input images into different clusters depending on the size of texts.

Published in:

Informatics, Electronics & Vision (ICIEV), 2012 International Conference on

Date of Conference:

18-19 May 2012