Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

Exploration and Research of Laser Printing Document Traceability Methods in the Context of Big Data

Authors
Yifan Tang1, *
1College of Forensic Sciences, Criminal Investigation Police University of China, Shenyang, 110854, Liaoning, China
*Corresponding author. Email: 1297075179@qq.com
Corresponding Author
Yifan Tang
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_103How to use a DOI?
Keywords
Laser printed document; Forensic examination of printed document; Source printer identification
Abstract

With the optimization of printing technology and the advent of the era of universal printing, the number of cases involving the traceability of laser printed document is increasing and the complexity of cases is by no means the past. Printers and copiers have become an important medium for governments, companies and individuals to exchange information. Printers and photocopiers can produce many documents such as contracts, bills, materials, certificates, etc., and the resulting criminal activities are endless. When authenticating printed document, examiners usually conduct analysis from both morphological and physical and chemical properties. But in principle, there is no rich experience and sufficient samples in actual cases, the success rate of identifying the authenticity of documents, determining the way in which documents are printed and identifying the source of documents is low, and some methods may also damage the documents under investigation. However, there are few integrated studies on traceability methods. Based on this, this paper reviews the existing digital methods and concludes with an analysis of the development trends of document traceability, in an attempt to provide ideas and references for forensic experts.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
978-94-6463-238-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_103How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yifan Tang
PY  - 2023
DA  - 2023/09/26
TI  - Exploration and Research of Laser Printing Document Traceability Methods in the Context of Big Data
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 791
EP  - 795
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_103
DO  - 10.2991/978-94-6463-238-5_103
ID  - Tang2023
ER  -