By Topic

Text detection from camera captured images using a novel fuzzy-based technique

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

3 Author(s)
Mollah, A.F. ; Sch. of Mobile Comput. & Commun., Jadavpur Univ., Kolkata, India ; Basu, S. ; Nasipuri, M.

Text information extraction from camera captured text embedded images has a wide variety of applications. In this paper, a fuzzy membership based robust text detection technique is presented. The given image is partitioned into blocks that are assigned two types of fuzyy memberships. The membership values are post-processed for finer classification as foreground block or background block. Adjacent foreground blocks form foreground components. Then, a feature-based Multi Layer Perceptron is used to classify the foreground components as text or non-text. Experiments show that the number of false negative is very small compared to that of the false positives. The technique yields an average of 99.75% recall and 93.75% precision rates.

Published in:

Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on

Date of Conference:

Nov. 30 2012-Dec. 1 2012