2024
doi: 10.12720/jait.15.1.132-137
An Investigation into the Application of the Meijering Filter for Document Recapture Detection
John Magee*
, ,
- School of Informatics and Cybersecurity, Technological University Dublin, Ireland
- Manuscript receivedJune 25, 2023
- revisedJuly 30, 2023
- acceptedAugust 8, 2023
- publishedJanuary 25, 2024
Abstract
The proliferation of mobile devices allows financial institutions to offer remote customer services, such as remote account opening. Bad actors can easily manipulate identity document images using modern image processing software. This represents a low-cost, high-risk threat to modern financial systems, opening these institutions to fraud through crimes related to identity theft. In this paper we describe our exploratory research into the application of biomedical imaging algorithm, the Meijering filter, to the domain of document recapture detection in the mobile channel. We perform a statistical analysis to compare different types of recaptured documents and train a support vector machine classifier on the raw histogram data generated using the Meijering filter. The results show that there is potential in biomedical imaging algorithms, such as the Meijering filter, as a form of texture analysis that help identify recaptured documents.
Keywords
- image processing
- image filtering
- identity document images
- document recapture detection
- biomedical imaging algorithms
- the Meijering filter
How to Cite
John Magee, Stephen Sheridan, and Christina Thorpe, "An Investigation into the Application of the Meijering Filter for Document Recapture Detection," Journal of Advances in Information Technology, vol. 15, no. 1, pp. 132-137, 2024. https://doi.org/10.12720/jait.15.1.132-137
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
