Formal concept analysis with negative attributes for forgery detection.
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Wiley
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Abstract
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.
Description
https://openpolicyfinder.jisc.ac.uk/id/publication/45517
Bibliographic citation
Manuel Ojeda-Aciego, José Manuel Rodríguez-Jiménez: Formal concept analysis with negative attributes for forgery detection. Comput. Math. Methods 3(6) (2021)









