In this paper, we provide a comprehensive analysis of periocular-based sex-prediction (commonly referred to as gender classification) using state-of-the-art ...
Results provide a more realistic estimation of the feasibility to predict a subject's sex from the periocular region using state-of-the-art machine learning ...
Sep 10, 2024 · In this paper, we provide a comprehensive analysis of periocular-based sex-prediction (commonly referred to as gender classification) using ...
Using periocular images for gender classification benefits from additional gender cues that are not present in the iris. ...
This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors.
Sex-Prediction from Periocular Images across Multiple Sensors and Spectra. Author, Tapia, J.; Rathgeb, C.; Busch, C. Date, 2018. Type, Conference Proceedings.
Gender classification from multispectral periocular and iris images is a new topic on soft-biometric research and the fusion of features on different ...
Oct 31, 2023 · This paper is one of the first works in determining gender from periocular images in the visible spectrum using a CNN model built from the outset.
Missing: Sensors | Show results with:Sensors
Sex-Prediction from Periocular Images across Multiple Sensors and Spectra. Autor, Tapia, J.; Rathgeb, C.; Busch, C. Datum, 2018. Art, Conference Proceedings. In ...
We study how the visual attention-based features coupled to Deep Neural Networks can be used to discriminate between gender and race.