A Feature Calibration Method For Watermarking Of Document Images
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Interword distance changes represented by sine waves for watermarking text images
IEEE Transactions on Circuits and Systems for Video Technology
An attack-localizing watermarking scheme for natural language documents
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Text luminance modulation for hardcopy watermarking
Signal Processing
Authorship Proof for Textual Document
Information Hiding
A General Data Hiding Framework and Multi-level Signature for Binary Images
IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
A new approach for steganography in Bengali text
Journal of Computational Methods in Sciences and Engineering
Hindi text steganography - An approach to information hiding
Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
Steganography via running short text messages
Multimedia Tools and Applications
GARWM: towards a generalized and adaptive watermark scheme for relational data
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
A new data hiding method via revision history records on collaborative writing platforms
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Text documents can be watermarked by patterning theinter-word spaces. This paper proposes a textwatermarking algorithm that exploits the novel conceptsof word classification and inter-word space statistics. Thewords are classified using some features. Severaladjacent words are grouped into a segment, and thesegments are also classified using the word classinformation. The same amount of information is insertedinto each of the segment classes. The information isencoded by modifying some statistics of inter-word spacesof the segments belonging to the same class. Severaladvantages over the conventional word-shift algorithmsare discussed.