An Investigation into the Application of the Meijering Filter for Document Recapture Detection

Authors

John Magee, Technological University DublinFollow
Stephen Sheridan PhD, Technological University DublinFollow
Christina Thorpe PhD, Technological University DublinFollow

Document Type

Conference Paper

Disciplines

Computer Sciences

Publication Details

9th International Conference on Computer Science, Engineering and Information Technology (CSITY 2023)

https://csity2023.org/papers

Abstract

The proliferation of mobile devices allows financial institutions to offer remote customer services, such as remote account opening. Manipulation of identity documents using image processing software is 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 image algorithms to the domain of document recapture detection. 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.

DOI

https://doi.org/10.21427/TTRN-J026

Recommended Citation

Magee, J., Sheridan, S., & Thorpe, C. (2023). An Investigation into the Application of the Meijering Filter for Document Recapture Detection. Technological University Dublin. DOI: 10.21427/TTRN-J026

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.