Three-tier quick-response code: Applications for encoded text and counterfeit prevention system
Sara Ignacio-Cerrato,
David Pacios,
José Miguel Ezquerro Rodriguez,
José Luis Vázquez-Poletti,
Nikolaos Schetakis,
Konstantinos Stavrakakis,
Alessio Di Iorio,
María Estefanía Avilés Mariño
Affiliations
Sara Ignacio-Cerrato
Optics Department, Faculty of Optics and Optometry, Universidad Complutense de Madrid, Calle Arcos de Jalón, 118 28037, Madrid, Spain; Alma Sistemi Srl, Guidonia, Rome 00012, Italy; Corresponding author at: Optics Department, Faculty of Optics and Optometry, Universidad Complutense de Madrid, Calle Arcos de Jalón, 118, 28037, Madrid, Spain.
David Pacios
Department of Computer Architecture and Automation, Faculty of Informatics, Universidad Complutense de Madrid, Calle del Prof. José García Santesmases, 9, Madrid 28040, Spain; Alma Sistemi Srl, Guidonia, Rome 00012, Italy
José Miguel Ezquerro Rodriguez
Quantum Innovation Pc, Chania 73100, Greece
José Luis Vázquez-Poletti
Alma Sistemi Srl, Guidonia, Rome 00012, Italy
Nikolaos Schetakis
Quantum Innovation Pc, Chania 73100, Greece; Department of Production Engineering and Management, Technical University of Crete, Kounoupidianna, Chania 73100, Greece
Konstantinos Stavrakakis
Alma Sistemi Srl, Guidonia, Rome 00012, Italy
Alessio Di Iorio
Alma Sistemi Srl, Guidonia, Rome 00012, Italy
María Estefanía Avilés Mariño
Departamento de Lingüística Aplicada a la Ciencia y a la Tecnología, Universidad Politécnica de Madrid, Calle de José Gutiérrez Abascal, 2, Madrid 28006, Spain
This paper introduces a novel approach for encoding information in PDF documents or similar files. The proposed encoding involves a dual-step method: firstly, the information is encoded in base64, and subsequently, it is uploaded in a user-selected color, while the rest of the colors contain dummy information. Merging of the encoded segments results in a single QR code. The Literature Review subsection investigates the usage of similar methods for information encoding, followed by a comparison of the luminance of the generated QR code with theoretical expectations. Finally, diverse use cases are presented.The proposed methodology is presented: • Compare the results obtained from the theorical approximation with those acquired in the merged QR code. • Use cases: encoding text sample to obtain a counterfeit system. • Results, contributions, and future work.
