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Optical Engineering

Compression of Chinese document images based on morphologic analysis and pattern matching
Author(s): Shu Chen; Hong Yan; Zhizhan Xu
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Paper Abstract

We propose a highly efficient content-lossless compression scheme for Chinese document images. The scheme combines morphologic analysis with pattern matching to cluster patterns. In order to achieve the error maps with minimal error numbers, the morphologic analysis is applied to decomposing and recomposing the Chinese character patterns. In the pattern matching, the criteria are adapted to the characteristics of Chinese characters. Since small-size components sometimes can be inserted into the blank spaces of large-size components, we can achieve small-size pattern library images. Arithmetic coding is applied to the final compression. Our method achieves much better compression performance than most alternative methods, and assures content-lossless reconstruction.

Paper Details

Date Published: 1 October 2006
PDF: 8 pages
Opt. Eng. 45(10) 107001 doi: 10.1117/1.2361171
Published in: Optical Engineering Volume 45, Issue 10
Show Author Affiliations
Shu Chen, Shanghai Institute of Optics and Fine Mechanics (China)
Hong Yan, City Univ. of Hong Kong (Hong Kong China)
Zhizhan Xu, Shanghai Institute of Optics and Fine Mechanics (China)

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