Skip to content
naulon
Not checkedNot checked for notices yet.

The determination of identity and uniqueness of color laser printouts of Ricoh® brand by Adobe® Creative Cloud Photoshop® 2018

Ahmad S. Salim, Asmaa A. Abdalla

Egyptian Journal of Forensic Sciences · 2019

doi:10.1186/s41935-019-0140-8 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Abstract Background Printer forensics is a sub-branch of digital forensic science encompassing the identification of the source of any printout by different means. Over the world, still today, there is no digital forensic lab able to identify the source of the color laser printer seized in forgery crimes by a certain scientific method. Therefore, the determination for the identity and uniqueness of color laser printouts have become one of the most challenging recently investigated in digital forensic labs. Method In the present study, one type of the most common brand of color laser printers called Ricoh® was selected. Three defined steps, printing, scanning, and extracting, were applied to measure and calculate the obtained data for achieving our target. Adobe Creative Cloud Photoshop 2018 was used as a forensic tool for image processing. Results In our study, 400 color laser printout samples from 93 Ricoh® color laser printers with different serial numbers were investigated. The study results successfully present the basic coded dot matrix pattern (CDMP) that characterizes and corresponds to the Ricoh® color laser machines with a 100% accuracy ratio. Conclusion The determination of identity and uniqueness of color laser printouts of Ricoh® brand was achieved with a high accuracy ratio (100%). Adobe Creative Cloud Photoshop 2018 was a versatile software applied as a steganalysis tool for extracting the steganography information embedded in all undertaken color laser printouts.

Abstract licence: CC BY-NC-ND

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.