Optimized embedding and decoding of extrinsic signatures for electrophotographic halftone images

Pei Ju Chiang, George T.C. Chiu, Edward J. Delp, Jan P. Allebach

Research output: Contribution to conferencePaper

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.

Original languageEnglish
Pages782-786
Number of pages5
Publication statusPublished - 2008 Dec 1
EventNIP24: 24th International Conference on Digital Printing Technologies and Digital Fabrication 2007 - Pittsburgh, PA, United States
Duration: 2008 Sep 62008 Sep 11

Conference

ConferenceNIP24: 24th International Conference on Digital Printing Technologies and Digital Fabrication 2007
CountryUnited States
CityPittsburgh, PA
Period08-09-0608-09-11

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All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications

Cite this

Chiang, P. J., Chiu, G. T. C., Delp, E. J., & Allebach, J. P. (2008). Optimized embedding and decoding of extrinsic signatures for electrophotographic halftone images. 782-786. Paper presented at NIP24: 24th International Conference on Digital Printing Technologies and Digital Fabrication 2007, Pittsburgh, PA, United States.