By Topic

Extraction of text in images

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

2 Author(s)
Malik, R. ; Dept. of Electr. Eng. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA ; SeongAh Chin

In this paper we present a text segmentation technique that is useful in locating and extracting text blocks in images. The algorithm works without prior knowledge of the text orientation, size or font. It is designed to eliminate background image information and to highlight or identify the regions of the image that contain text. The algorithm uses the fact that text regions in an image may be identified by searching for several repeated instances of uniform gray intensity of approximately the same width. Combining this with the fact that the ratio of type-face stroke width to height is often fixed provides a useful technique for extracting text from images. Results of the application of this algorithm are presented

Published in:

Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on

Date of Conference: