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An Algorithm for Text Image Watermarking based on Word Classification  

Kim Young-Won (전북대학교 전자정보공학부)
Oh Il-Seok (전북대학교 전자정보공학부)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.8, 2005 , pp. 742-751 More about this Journal
Abstract
This paper proposes a novel text image watermarking algorithm based on word classification. The words are classified into K classes using simple features. Several adjacent words are grouped into a segment. and the segments are also classified using the word class information. The same amount of information is inserted into each of the segment classes. The signal is encoded by modifying some inter-word spaces statistics of segment classes. Subjective comparisons with conventional word-shift algorithms are presented under several criteria.
Keywords
text watermarking; word and segment classification; word-shift algorithm; inter-word space statistics;
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