Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

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

We present a systematic study on gender classification with automatically detected and
aligned faces. We experimented with 120 combinations of automatic face detection, face …

Estimating the age exactly and then producing the younger and older images of the person
is important in security systems design. In this paper local binary patterns are used to …

Successful face analysis requires robust methods. It has been hard to compare the methods
due to different experimental setups. We carried out a comparison study for the state-of-the …

In this paper, we present a novel texture descriptor Local Directional Pattern (LDP) to
represent facial image for gender classification. The face area is divided into small regions …

RGB-D is a powerful source of data providing the aligned depth information which has great
potentials in improving the performance of various problems in image understanding, while …

Face is one of the most important biometric traits. By analyzing the face we get a lot of
information such as age, gender, ethnicity, identity, expression, etc. A gender classification …

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

In this paper, we perform a detailed investigation of various features that can be extracted
from the periocular region of human faces for biometric identification. The emphasis of this …