By Topic

Robust extraction of characters from color scene image using mathematical morphology

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

4 Author(s)
Gu, L. ; Toyohashi Univ. of Technol., Japan ; Kaneko, T. ; Tanaka, N. ; Haralick, R.M.

Current character extraction systems for scene images are not robust for most real-world applications. In contrast, the system present here achieves robust performance by using morphological segmentation. This paper describes a new morphological segmentation algorithm-differential top-hats (DTT). In, addition, a complete system for extraction of characters from color scene images is presented. The system was verified through experiments on sequences of outdoor color images with varying external conditions. A high average extraction rate of 95% is obtained

Published in:

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on  (Volume:2 )

Date of Conference:

16-20 Aug 1998