ABSTRACT:
Government agencies are
investing a considerable amount of resources into improving security systems as
result of recent terrorist events that dangerously exposed flaws and weaknesses
in today’s safety mechanisms. Badge or password-based authentication procedures
are too easy to hack. Biometrics represents a valid alternative but they suffer
of drawbacks as well. Iris scanning, for example, is very reliable but too
intrusive; fingerprints are socially accepted, but not applicable to
non-consentient people. On the other hand, face recognition represents a good
compromise between what’s socially acceptable and what’s reliable, even when
operating under controlled conditions. In last decade, many algorithms based on
linear/nonlinear methods, neural networks, wavelets, etc. have been proposed.
Nevertheless, Face Recognition Vendor Test 2002 shown that most of these
approaches encountered problems in outdoor conditions. This lowered their
reliability compared to state of the art biometrics.
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