Paper
30 May 2000 Automatic text extraction from color image
WenPing Liu, Hui Su, Chang Y. Chi
Author Affiliations +
Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386617
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
WenPing Liu, Hui Su, and Chang Y. Chi "Automatic text extraction from color image", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386617
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Image processing

Optical character recognition

Feature extraction

Binary data

Color image processing

Radon

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