Human facial analysis (HFA) has recently become an attractive topic for computer vision
research due to technological progress and mobile applications. HFA explores several …

The rapid advancement of Artificial Intelligence (AI) technology has enabled diverse systems
to leverage individual characteristics to enhance their functionality. Among these attributes …

Object classification under partial occlusion has been challenging for deep convolutional
neural networks due to their innate locality in extracting features. We propose an Occlusion …

Human gender recognition is an essential demographic tool. This is reflected in forensic
science, surveillance systems and targeted marketing applications. This research was …

Nowadays gender classification which plays a vital role in face recognition systems is one of
the main matters in computer vision. It is difficult to classify the gender from facial images …

In personal identity recognition systems, detecting a person's age, gender, and language
using voice signal characteristics is a crucial issue, especially because of the importance of …

Estimating an individual's age from a photograph of their face is critical in many applications,
including intelligence and defense, border security and human-machine interaction, as well …

Due to the availability of technology stemming from in-depth research in this sector and the
drawbacks of other identifying methods, biometrics has drawn maximum attention and …

Age recognition from faces has attracted potential interest due to its importance in several
areas as well as minor-security and online shopping. However, it still has various …

Facial gender detectors have evolved into a vital component of an intelligent advertisement
display platform. It is helpful to assist a decision of delivering appropriate advertisements to …