RT Journal Article
T1 Formal concept analysis with negative attributes for forgery detection.
A1 Ojeda-Aciego, Manuel
A1 Rodríguez Jiménez, José Manuel
K1 Lenguajes formales
K1 Análisis lingüístico automático
K1 Documentos - Falsificaciones
AB Europe’s system of open frontiers, commonly known as “Schengen,” let peoplefrom different countries travel and cross the inner frontiers without problems.Different documents from these countries, not only European, can be found inroad checkpoints and there is no international database to help Police forces todetect whether they are false or not. People who need a driver license to accessto specific jobs, or a new identity because of legal problems, often contact forgerswho provide false documents with different levels of authenticity. Governmentsand Police Forces should improve their methodologies, by ensuring that staffis increasingly better able to detect false or falsified documents through theirexamination, 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 toenforce the detection of forgers.
PB Wiley
YR 2020
FD 2020-07-13
LK https://hdl.handle.net/10630/40248
UL https://hdl.handle.net/10630/40248
LA eng
NO Manuel Ojeda-Aciego, José Manuel Rodríguez-Jiménez: Formal concept analysis with negative attributes for forgery detection. Comput. Math. Methods 3(6) (2021)
NO https://openpolicyfinder.jisc.ac.uk/id/publication/45517
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026