Human age, gender and ethnicity are valuable demographic information about a population.
These measures are also considered important soft biometric traits for human recognition or …

Human age, gender and ethnicity are valuable demographic characteristics. They are also
important soft biometric traits useful for human identification or verification. We present a …

Age estimation from digital pictures of the face is a very promising research field that is now
receiving wide attention. As with any good research problem, face age-estimation is wrought …

In this paper we study some problems related to human age estimation using a large
database. First, we study the influence of gender on age estimation based on face …

There has been a growing interest in automatic age estimation from facial images due to a
variety of potential applications in law enforcement, security control, and human-computer …

We study the problem of cross-population age estimation. Human aging is determined by
the genes and influenced by many factors. Different populations, eg, males and females …

In this paper we study large-scale ethnicity estimation under variations of age and gender.
The biologically-inspired features are applied to ethnicity classification for the first time …

After decades of research, the real (biological) age estimation from a single face image
reached maturity thanks to the availability of large public face databases and impressive …

Attribute information such as age and gender improves the performance of face recognition.
This paper proposes an age and gender prediction method from face images using …

Nowadays research has explored to extracting auxiliary information from various biometrie
techniques such as fingerprints, face, iris, palm, voice etc. This information contains some …