Abstract
As the printing technology is developing, the use of digital documents which is printed with a variety of printing papers is increasing. And the increase in criminal forgery of digital documents has been the cause of many social problems. As a result, the development of digital forensic techniques to collect and analyze the evidence of the crime of forgery of digital documents is increasingly important. In this paper, we propose an automatic paper identification technique with QR code that is formed based on the extracted features from each paper’s microscope image.
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References
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Yamakoshi, M., Tanaka, J., Furuie, M., Hirabayashi, M., Matsumoto, T.: Individuality evaluation for paper based artifact-metrics using transmitted light image. In: Proc. SPIE 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 68190H (2008)
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© 2014 Springer-Verlag Berlin Heidelberg
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Lee, HK.J., Yun, YM., Yoon, KH., Cho, DS. (2014). Design of Automatic Paper Identification System with QR Code for Digital Forensics. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_5
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DOI: https://doi.org/10.1007/978-3-642-40675-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
Online ISBN: 978-3-642-40675-1
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