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Facial Profiles Recognition Using Comparative Facial Soft Biometrics
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Text/Conference Paper
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Datum
2020
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Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
This study extends previous advances in soft biometrics and describes to what extent soft
biometrics can be used for facial profile recognition. The purpose of this research is to explore human
recognition based on facial profiles in a comparative setting based on soft biometrics. Moreover, in
this work, we describe and use a ranking system to determine the recognition rate. The Elo rating
system is employed to rank subjects by using their face profiles in a comparative setting. The crucial
features responsible for providing useful information describing facial profiles have been identified
by using relative methods. Experiments based on a subset of the XM2VTSDB database demonstrate
a 96% for recognition rate using 33 features over 50 subjects.