1. A knowledge-based system for extracting text-lines from mixed and overlapping text/graphics compound document images
- Author
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Chen, Yen-Lin, Hong, Zeng-Wei, and Chuang, Cheng-Hung
- Subjects
- *
EXPERT systems , *DATA extraction , *COMPUTER graphics , *DOCUMENT imaging systems , *IMAGE processing , *IMAGE analysis , *COMPARATIVE studies - Abstract
Abstract: This paper presents a new knowledge-based system for extracting and identifying text-lines from various real-life mixed text/graphics compound document images. The proposed system first decomposes the document image into distinct object planes to separate homogeneous objects, including textual regions of interest, non-text objects such as graphics and pictures, and background textures. A knowledge-based text extraction and identification method obtains the text-lines with different characteristics in each plane. The proposed system offers high flexibility and expandability by merely updating new rules to cope with various types of real-life complex document images. Experimental and comparative results prove the effectiveness of the proposed knowledge-based system and its advantages in extracting text-lines with a large variety of illumination levels, sizes, and font styles from various types of mixed and overlapping text/graphics complex compound document images. [Copyright &y& Elsevier]
- Published
- 2012
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