Sex-Prediction from Periocular Images across Multiple Sensors and Spectra

1 May 2019Juan TapiaChristian RathgebChristoph Busch

In this paper, we provide a comprehensive analysis of periocular-based sex-prediction (commonly referred to as gender classification) using state-of-the-art machine learning techniques. In order to reflect a more challenging scenario where periocular images are likely to be obtained from an unknown source, i.e. sensor, convolutional neural networks are trained on fused sets composed of several near-infrared (NIR) and visible wavelength (VW) image databases... (read more)

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