Share Email Print
cover

Proceedings Paper

Automatic text extraction from color image
Author(s): WenPing Liu; Hui Su; Chang Y. Chi
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An effective and fast method to extract text from color background is proposed in this paper. Under the assumption that the text strings with high contrast are usually important, a modified sobel operator is utilized to transform the color image into an edge binary image and an edge-based smear processing is also used to speed up the color image processing time greatly. Combining the feature- based text candidates identification with the moment preserving region segmentation, we can effectively extract text from scanned true-color image varying in text font, size and color complexity. The extracted texts are finally input to the Optical Character Recognition system. Experimental results demonstrate the high speed performance and feasibility of this method.

Paper Details

Date Published: 30 May 2000
PDF: 7 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386617
Show Author Affiliations
WenPing Liu, IBM China Research Lab. (China)
Hui Su, IBM China Research Lab. (China)
Chang Y. Chi, IBM China Research Lab. (China)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

© SPIE. Terms of Use
Back to Top