A Robust Document Identification Framework through f-BP Fingerprint

• Main Authors: Francesco Guarnera, Oliver Giudice, Dario Allegra, Filippo Stanco, Sebastiano Battiato, Salvatore Livatino, Vito Matranga, Angelo Salici
• Format: Article
• Language: English
• Published: MDPI AG 2021-07-01
• Series: Journal of Imaging
• Subjects: document identification; binary pattern; texture fingerprint
• Online Access: https://www.mdpi.com/2313-433X/7/8/126

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.