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J. Imaging
Volume 7
Issue 8
10.3390/jimaging7080126
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Article

A Robust Document Identification Framework through f-BP Fingerprint

by
Francesco Guarnera
1,*,
Oliver Giudice
1,
Dario Allegra
1,
Filippo Stanco
1,
Sebastiano Battiato
1,
Salvatore Livatino
2,
Vito Matranga
3 and
Angelo Salici
3
1
Department of Mathematics and Computer Science, University of Catania, 95125 Catania, Italy
2
School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
3
Raggruppamento Carabinieri Investigazioni Scientifiche, RIS di Messina, 98122 Messina, Italy
*
Author to whom correspondence should be addressed.
J. Imaging 2021, 7(8), 126; https://doi.org/10.3390/jimaging7080126
Submission received: 25 May 2021 / Revised: 1 July 2021 / Accepted: 26 July 2021 / Published: 29 July 2021
(This article belongs to the Section Biometrics, Forensics, and Security)
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Abstract

The identification of printed materials is a critical and challenging issue for security purposes, especially when it comes to documents such as banknotes, tickets, or rare collectable cards: eligible targets for ad hoc forgery. State-of-the-art methods require expensive and specific industrial equipment, while a low-cost, fast, and reliable solution for document identification is increasingly needed in many contexts. This paper presents a method to generate a robust fingerprint, by the extraction of translucent patterns from paper sheets, and exploiting the peculiarities of binary pattern descriptors. A final descriptor is generated by employing a block-based solution followed by principal component analysis (PCA), to reduce the overall data to be processed. To validate the robustness of the proposed method, a novel dataset was created and recognition tests were performed under both ideal and noisy conditions.
Keywords: document identification; binary pattern; texture fingerprint document identification; binary pattern; texture fingerprint

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MDPI and ACS Style

Guarnera, F.; Giudice, O.; Allegra, D.; Stanco, F.; Battiato, S.; Livatino, S.; Matranga, V.; Salici, A. A Robust Document Identification Framework through f-BP Fingerprint. J. Imaging 2021, 7, 126. https://doi.org/10.3390/jimaging7080126

AMA Style

Guarnera F, Giudice O, Allegra D, Stanco F, Battiato S, Livatino S, Matranga V, Salici A. A Robust Document Identification Framework through f-BP Fingerprint. Journal of Imaging. 2021; 7(8):126. https://doi.org/10.3390/jimaging7080126

Chicago/Turabian Style

Guarnera, Francesco, Oliver Giudice, Dario Allegra, Filippo Stanco, Sebastiano Battiato, Salvatore Livatino, Vito Matranga, and Angelo Salici. 2021. "A Robust Document Identification Framework through f-BP Fingerprint" Journal of Imaging 7, no. 8: 126. https://doi.org/10.3390/jimaging7080126

APA Style

Guarnera, F., Giudice, O., Allegra, D., Stanco, F., Battiato, S., Livatino, S., Matranga, V., & Salici, A. (2021). A Robust Document Identification Framework through f-BP Fingerprint. Journal of Imaging, 7(8), 126. https://doi.org/10.3390/jimaging7080126

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