Optimized Embedding and Decoding of Extrinsic Signatures for Electrophotographic Halftone Images
Abstract:Printer identification based on a printed document can provide forensic information to protect copyright and verify authenticity. In this work, a stochastic dot interaction model that take in to consideration of scanner characteristics and print-scan channel noise is developed to predict the impact of embedding extrinsic signatures using laser intensity modulation. With this model, reflectance of the printout can be effectively estimated without extensive measurements. In addition, we proposed an optimization framework to select the modulation parameters that will maximize the embedding capacity and detection reliability. Preliminary analysis results such as achievable capacity and correct detection rate are discussed.
Document Type: Research Article
Publication date: 2008-01-01
For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.
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