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Document Verification and Traceability Through Image Quality Analysis

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The age of digital printing has complicated the task of forensic document examination in two significant ways. In the case of document falsification and verification, the widespread availability of sophisticated hardware and software tools (and knowledge to use them) for imaging, manipulation, and duplication has made it difficult if not impossible to detect counterfeiting without equally powerful equipment and know-how. Where a document has been identified as a fraud, or where the pedigree of a valid one is required, traceability to the printing source is critical for successful prosecution. The equivalent of a fingerprint for the printer must be identified, and matched to the source from either a database or the suspect device.

Objective, quantifiable image quality analysis provides a means to achieve these objectives. Powerful image analysis algorithms combined with flexible imaging hardware and instrumentation offer the tools required to analyze documents and establish defensible curricula vitae.

Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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