Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

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

Demographic estimation entails automatic estimation of age, gender and race of a person
from his face image, which has many potential applications ranging from forensics to social …

Privacy is one of the most important social and political issues in our information society,
characterized by a growing range of enabling and supporting technologies and services …

Faces convey a wealth of social signals, including race, expression, identity, age and
gender, all of which have attracted increasing attention from multi-disciplinary research …

Biometrics is the technique of automatically recognizing individuals based on their biological
or behavioral characteristics. Various biometric traits have been introduced and widely …

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 work attempts to solve the problem of ethnicity prediction of humans based on their
facial features. Three major ethnicities were considered for this work: Mongolian, Caucasian …

Attractiveness of a face plays an important role in many social endeavors. It influences
careers like digital entertainment, modeling and acting, as well as person's career prospect …

In this paper, we propose a novel approach using Kernel Class-dependent Feature Analysis
(KCFA) combined with facial color based features to tackle the problem of ethnicity …