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oai:riuma.uma.es:10630/402482026-02-03T11:05:24Zcom_10630_2254col_10630_37953

Formal concept analysis with negative attributes for forgery detection. Ojeda-Aciego, Manuel Rodríguez Jiménez, José Manuel Lenguajes formales Análisis lingüístico automático Documentos - Falsificaciones https://openpolicyfinder.jisc.ac.uk/id/publication/45517 Europe’s system of open frontiers, commonly known as “Schengen,” let people from different countries travel and cross the inner frontiers without problems. Different documents from these countries, not only European, can be found in road checkpoints and there is no international database to help Police forces to detect whether they are false or not. People who need a driver license to access to specific jobs, or a new identity because of legal problems, often contact forgers who provide false documents with different levels of authenticity. Governments and Police Forces should improve their methodologies, by ensuring that staff is increasingly better able to detect false or falsified documents through their examination, and follow patterns to detect and situate these forgers. In this work, we propose a method, based in formal concept analysis using negative attributes, which allows Police forces analyzing false documents and provides a guide to enforce the detection of forgers. 2025-10-15T11:12:49Z 2025-10-15T11:12:49Z 2020-07-13 journal article Manuel Ojeda-Aciego, José Manuel Rodríguez-Jiménez: Formal concept analysis with negative attributes for forgery detection. Comput. Math. Methods 3(6) (2021) https://hdl.handle.net/10630/40248 10.1002/cmm4.1124 eng open access Wiley