An a-contrario Approach for Face Matching
2014
In this work we focused in the matching stage of a face
recognition system. These systems are used to identify an unknown
person or to validate a claimed identity. In the face recognition
field it is very common to innovate in the extracted features of a
face and use a simple threshold on the distance between samples in
order to perform the validation of a claimed identity. In this work
we present a novel strategy based in the a-contrario framework in
order to improve the matching stage. This approach results in a
validation threshold that is automatically adapted to the data and
allows to predict the performance of the system in advance. We
perform several experiments in order to validate this novel strategy
using different databases and show its advantages over using a
simple threshold over the distances.
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