The paper presents two new encoding schemes for representation of the intensity function in
a local neighborhood. The encoding produces binary codes, which are complementary to …

Automatic gender classification based on face images is receiving increased attention in the
biometrics community. Most gender classification systems have been evaluated only on face …

This paper proposes a PSOAdaBoost algorithm incorporating particle swarm optimization
within an AdaBoost framework for face detection applications. The basic component of an …

Gender is one of the main factors in the interaction between individuals. Recently, with the
development of social media environments and smartphones, gender recognition …

Face recognition based on local descriptors has been recently recognized as the state-of-
the-art design framework for problems of facial identification and verification. Given the …

In this paper a unified learning framework for object detection and classification using
nested cascades of boosted classifiers is proposed. The most interesting aspect of this …

Automatic face identification and verification from facial images attain good accuracy with
large sets of training data while face attribute recognition from facial images still remain …

With the evolution of HCI (Human-Computer Interaction), the computer vision systems are
playing an important role in our lives. Some of the prime areas of computer vision …

Recently, the identification of an individual race has become an important research topic in
face recognition systems, especially in large-scale face images. In this paper, we propose a …

This paper presents a fastened algorithm examining the effects of facial features on gender
classification. Face images were firstly decomposed by 2-D Discrete Wavelet Transform …