Konferenzbeitrag
Gender and Kinship by Model-Based Ear Biometrics
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Text/Conference Paper
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Datum
2019
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Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Many studies in biometrics have shown how identity can be determined, including by images of ears. In the paper, we show how model an ear and how the gender appears to often be manifest in the ear structures, as is kinship or family relationship. We describe a new model-based approach for viewpoint correction and ear description to enable this analysis. We show that with the new technique having satisfactory basic recognition capability (recognizing individuals with performance similar to state of art), gender can achieve 67.2% and kinship 40.4% rank 1 recognition on ears from subjects with unconstrained pose.