@article {18187,
	title = {Data hiding in binary image for authentication and annotation},
	journal = {Multimedia, IEEE Transactions on},
	volume = {6},
	year = {2004},
	month = {2004/08//},
	pages = {528 - 538},
	abstract = {This paper proposes a new method to embed data in binary images, including scanned text, figures, and signatures. The method manipulates "flippable" pixels to enforce specific block-based relationship in order to embed a significant amount of data without causing noticeable artifacts. Shuffling is applied before embedding to equalize the uneven embedding capacity from region to region. The hidden data can be extracted without using the original image, and can also be accurately extracted after high quality printing and scanning with the help of a few registration marks. The proposed data embedding method can be used to detect unauthorized use of a digitized signature, and annotate or authenticate binary documents. The paper also presents analysis and discussions on robustness and security issues.},
	keywords = {annotation;, authentication;, binary, coding;, data, digital, digitized, document, EMBEDDING, encapsulation;, extraction;, feature, hiding;, image, image;, method;, signature;, unauthorized, user;, watermarking;},
	isbn = {1520-9210},
	doi = {10.1109/TMM.2004.830814},
	author = {M. Wu and Liu,Bede}
}
@conference {18261,
	title = {Performance of detection statistics under collusion attacks on independent multimedia fingerprints},
	booktitle = {Multimedia and Expo, 2003. ICME {\textquoteright}03. Proceedings. 2003 International Conference on},
	volume = {1},
	year = {2003},
	month = {2003/07//},
	pages = {I - 205-8 vol.1 - I - 205-8 vol.1},
	abstract = {Digital fingerprinting is a technology for tracing the distribution of multimedia content and protecting them from unauthorized redistribution. Collusion attack is a cost effective attack against digital fingerprinting where several copies with the same content but different fingerprints are combined to remove the original fingerprints. In this paper, we consider average attack and several nonlinear collusion attacks on independent Gaussian based fingerprints, and study the detection performance of several commonly used detection statistics in the literature under collusion attacks. Observing that these detection statistics are not specifically designed for collusion scenarios and do not take into account the characteristics of the newly generated fingerprints under collusion attacks, we propose pre-processing techniques to improve the detection performance of the detection statistics under collusion attacks.},
	keywords = {analysis;, attacks;, based, collusion, content;, DETECTION, digital, fingerprint, fingerprinting;, fingerprints;, Gaussian, identification;, independent, multimedia, performance;, preprocessing, processes;, redistribution;, security;, statistical, statistics;, systems;, techniques;, Telecommunication, unauthorized},
	doi = {10.1109/ICME.2003.1220890},
	author = {Zhao,Hong and M. Wu and Wang,Z.J. and Liu,K. J.R}
}
