11 citations · 35 across the 24 of their papers we have counts for
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cs.CV2019
Sex-Prediction from Periocular Images across Multiple Sensors and Spectra
Juan Tapia, Christian Rathgeb, Christoph 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 techni…
cs.CV2019★ 2 cited
Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features
Juan Tapia, Claudia Arellano
Soft biometric information such as gender can contribute to many applications like as identification and security. This paper explores the use of a Binary Statistical Features (BSI…
cs.CV2019
Relevant features for Gender Classification in NIR Periocular Images
Ignacio Viedma, Juan Tapia, Andres Iturriaga +1
Most gender classifications methods from NIR images have used iris information. Recent work has explored the use of the whole periocular iris region which has surprisingly achieve…