Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks

This paper is based on a disruptive hypothesis for periocular biometrics-in visible-light data, the recognition performance is optimized when the components inside the ocular globe (the iris and the sclera) are simply discarded, and the recognizer's response is exclusively based on the informat...

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Veröffentlicht in:	IEEE transactions on information forensics and security 2018-04, Vol.13 (4), p.888-896
Hauptverfasser:	Proenca, Hugo, Neves, Joao C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolution Eyelids Feature extraction homeland security Iris recognition Machine learning Soft biometrics visual surveillance
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