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Determining printer and scanner resolution dependency of text classification for digital image forensics

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Forensic identification of the hardware used during printing and image scanning is a technology of value for security printing, inspection and even criminal investigations. The more familiar image forensics are concerned with determining the operations that have been performed on a digital image—usually for identifying the camera model used to capture the image. When an image is both printed and scanned, however, the forensics task is more complicated, since the print-scan (PS) cycle introduces less specific effects on the images. In order to identify the printer used to produce and read an image, classification must be performed. In this paper, we use a multi-class Adaboost classifier to determine which of 6 printers, representing 3 inkjet and 2 laserjet models, was used to produce a later-scanned image. Our results, investigating 6 different English characters, show that classification accuracy continues to increase with scanning resolution up to 1200 pixels/inch. The results are character-dependent, suggesting that different characters may be used for different forensic purposes—printer model, cartridge and individual printer identification as examples.

Document Type: Research Article

Publication date: January 1, 2010

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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