research-article

Printer profiling for forensics and ballistics

Authors:

Hany FaridAuthors Info & Claims

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

Pages 3 - 10

https://doi.org/10.1145/1411328.1411332

Published: 22 September 2008 Publication History

Abstract

We describe a technique for authenticating printed and scanned text documents. This technique works by modeling the degradation in a document caused by printing. The resulting printer profile is then used to detect inconsistencies across a document, and for ballistic purposes - that of linking a document to a printer.

References

[1]

G. Ali, P.-J. Chiang, A. K. Mikkilineni, J. P. Allebach, G. T. Chiu, and E. J. Delp. Intrinsic and extrinsic signatures for information hiding and secure printing with electrophotographic devices. In IS&T's NIP19: International Conference on Digital Printing Technologies, pages 511--515, 2003.

[2]

G. N. Ali, P.-J. Chiang, A. K. Mikkilineni, G. T.-C. Chiu, E. J. Delp, and J. P. Allebach. Application of principal components analysis and gaussian mixture models to printer identification. In International Conference on Digital Printing Technologies, pages 301--305, 2004.

[3]

H. Baird. The state of the art of document image degradation modeling. In International Workshop on Document Analysis Systems, Rio de Janeiro, 2000.

[4]

J. Barron, D. Fleet, and S. Beauchemin. Performance of optical flow techniques. International Journal of Computer Vision, 12(1):43--77, Feb. 1994.

Digital Library

[5]

R. Duda and P. Hart. Pattern Classification and Scene Analysis. John Wiley and Sons, 1973.

Digital Library

[6]

B. Horn. Robot Vision. MIT Press, Cambridge, MA, 1986.

Digital Library

[7]

N. Khanna, A. Mikkilineni, A. Martone, G. N. Ali, G.-C. Chiu, J. P. Allebach, and E. Delp. A survey of forensic characterization methods for physical devices. Digital Investigation, 3S:S17--S28, 2006.

Digital Library

[8]

A. K. Mikkilineni, G. N. Ali, P.-J. Chiang, G. T. Chiu, J. P. Allebach, and E. J. Delp. Signature-embedding in printed documents for security and forensic applications. In SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents, pages 455--466, 2004.

[9]

A. K. Mikkilineni, O. Arslan, P.-J. Chiang, R. M. Kumontoy, J. P. Allebach, G. T.-C. Chiu, and E. J. Delp. Printer Forensics using svm techniques. In IS&T's NIP21: International Conference on Digital Printing Technologies, pages 223--226, 2005.

[10]

A. K. Mikkilineni, P.-J. Chiang, G. N. Ali, G. T.-C. Chiu, J. P. Allebach, and E. J. Delp. Printer identification based on graylevel co-occurrence features for security and forensic applications. In Security, Steganography, and Watermarking of Multimedia Contents, pages 430--440, 2005.

[11]

J. Oliver and J. Chen. Use of signature analysis to discriminate digital printing technologies. In International Conference on Digital Printing Technologies, 2002.

[12]

J. Picard. Digital authentication with copy detection patterns. In SPIE International Conference on Optical Security and Counterfeit Deterrence Techniques, 2004.

[13]

J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):888--905, 2000.

Digital Library

[14]

E. Simoncelli. Handbook of Computer Vision and Applications, chapter Bayesian Multi-scale Differential Optical Flow, pages 397--420. Academic Press, 1999.

[15]

V. Talbot, P. Perrot, and C. Murie. Inkjet printing discrimination based on invariant moments. In International Conference on Digital Printing Technologies, 2006.

[16]

B. Zhu, J. Wu, and M. Kankanhalli. Print signatures for document authentication. In Conference on Computer and Communications Security, Washington, DC, 2003.

Digital Library

Cited By

Joshi SSaxena SKhanna N(2024)Source printer identification from document images acquired using smartphoneJournal of Information Security and Applications10.1016/j.jisa.2024.10380484(103804)Online publication date: Aug-2024
https://doi.org/10.1016/j.jisa.2024.103804
Joshi SGupta YKhanna N(2022)Source printer identification using printer specific pooling of letter descriptorsExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.116344192:COnline publication date: 15-Apr-2022
https://dl.acm.org/doi/10.1016/j.eswa.2021.116344
Gomez‐Krämer P(2022)Verifying Document IntegrityMultimedia Security 210.1002/9781119987390.ch3(59-89)Online publication date: Jul-2022
https://doi.org/10.1002/9781119987390.ch3
Show More Cited By

Index Terms

Printer profiling for forensics and ballistics
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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Published In

cover image ACM Conferences

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

September 2008

242 pages

ISBN:9781605580586

DOI:10.1145/1411328

General Chair:
Andrew Ker
University of Oxford, UK
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University, Magdeburg, Germany
,
Jessica Fridrich
SUNY Binghamton, USA

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 September 2008

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MM&Sec '08

Sponsor:

MM&Sec '08: Multimedia and Security Workshop

September 22 - 23, 2008

Oxford, United Kingdom

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Citations

Cited By

Joshi SSaxena SKhanna N(2024)Source printer identification from document images acquired using smartphoneJournal of Information Security and Applications10.1016/j.jisa.2024.10380484(103804)Online publication date: Aug-2024
https://doi.org/10.1016/j.jisa.2024.103804
Joshi SGupta YKhanna N(2022)Source printer identification using printer specific pooling of letter descriptorsExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.116344192:COnline publication date: 15-Apr-2022
https://dl.acm.org/doi/10.1016/j.eswa.2021.116344
Gomez‐Krämer P(2022)Verifying Document IntegrityMultimedia Security 210.1002/9781119987390.ch3(59-89)Online publication date: Jul-2022
https://doi.org/10.1002/9781119987390.ch3
Tkachenko ITremeau AFournel T(2022)Protecting Documents Using Printed Anticopy ElementsMultimedia Security 210.1002/9781119987390.ch2(31-58)Online publication date: Jul-2022
https://doi.org/10.1002/9781119987390.ch2
Ferreira ANowroozi EBarni M(2021)VIPPrint: Validating Synthetic Image Detection and Source Linking Methods on a Large Scale Dataset of Printed DocumentsJournal of Imaging10.3390/jimaging70300507:3(50)Online publication date: 8-Mar-2021
https://doi.org/10.3390/jimaging7030050
Ferreira APurnekar NBarni M(2021)Ensembling Shallow Siamese Neural Network Architectures for Printed Documents Verification in Data-Scarcity ScenariosIEEE Access10.1109/ACCESS.2021.31102979(133924-133939)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3110297
Joshi SKhanna N(2020)Source Printer Classification Using Printer Specific Local Texture DescriptorIEEE Transactions on Information Forensics and Security10.1109/TIFS.2019.291986915(160-171)Online publication date: 2020
https://doi.org/10.1109/TIFS.2019.2919869
Tsai MTao YYuadi I(2019)Deep learning for printed document source identificationSignal Processing: Image Communication10.1016/j.image.2018.09.00670(184-198)Online publication date: Feb-2019
https://doi.org/10.1016/j.image.2018.09.006
Jain HJoshi SGupta GKhanna N(2019)Passive classification of source printer using text-line-level geometric distortion signatures from scanned images of printed documentsMultimedia Tools and Applications10.1007/s11042-019-08508-x79:11-12(7377-7400)Online publication date: 23-Dec-2019
https://doi.org/10.1007/s11042-019-08508-x
Gupta SKumar M(2019)Forensic document examination system using boosting and bagging methodologiesSoft Computing10.1007/s00500-019-04297-5Online publication date: 14-Aug-2019
https://doi.org/10.1007/s00500-019-04297-5
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