By Topic

A Hybrid System for Text Detection in Video Frames

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
$33 $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)
Anthimopoulos, M. ; Comput. Intell. Lab., Inst. of Inf. & Telecommun., Nat. Center for Sci. Res. "Demokritos", Athens ; Gatos, B. ; Pratikakis, I.

This paper proposes a hybrid system for text detection in video frames. The system consists of two main stages. In the first stage text regions are detected based on the edge map of the image leading in a high recall rate with minimum computation requirements. In the sequel, a refinement stage uses an SVM classifier trained on features obtained by a new local binary pattern based operator which results in diminishing false alarms. Experimental results show the overall performance of the system that proves the discriminating ability of the proposed feature set.

Published in:

Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on

Date of Conference:

16-19 Sept. 2008