Applications such as human–computer interaction, surveillance, biometrics and intelligent
marketing would benefit greatly from knowledge of the attributes of the human subjects …

This paper employs machine learning techniques to develop models that predict gender
based on the iris texture features. While there is a large body of research that explores …

Face as a biometric attribute has been extensively studied over the past few decades. Even
though, satisfactory results are already achieved in controlled environments, the practicality …

Gender is an important demographic attribute of people. This paper provides a survey of
human gender recognition in computer vision. A review of approaches exploiting information …

Gender is an important demographic attribute of people. This paper provides a survey of
human gender recognition in computer vision. A review of approaches exploiting information …

This paper presents a novel framework for detecting, localizing, and classifying faces in
terms of visual traits, eg, sex or age, from arbitrary viewpoints and in the presence of …

An increasing number of studies use gender information to understand phenomena such as
gender bias, inequity in access and participation, or the impact of the Covid pandemic …

User profile can be used to characterize a person and help us better understand him/her,
which further can be utilized to provide enhanced personalized services. When using mobile …

Recent success in large-scale image recognition challenge (ie, ImageNet) fully
demonstrates the capability of deep neural network (DNN) in learning complex and …

Gender information is often absent from databases available to scholars, thus hindering the
proper problematization, investigation, and answering of various gender-related research …