Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Age and gender predictions of unfiltered faces classify unconstrained real‐world facial
images into predefined age and gender. Significant improvements have been made in this …

Nowadays,” aging” becomes a challenging problem for face recognition systems. The
challenge is particularly due to age-related biological changes, which can lead to significant …

Age estimation using face images is an exciting and challenging task. The traits from the
face images are used to determine age, gender, ethnic background, and emotion of people …

Age-invariant face recognition is one of the most crucial computer vision problems, eg, in
passport verification, surveillance systems, and missing individuals identification. The …

This paper proposes automatic age and gender predictions based on feature extraction from
human facial images. In contrast to the other traditional methods on the unfiltered …

With the progression of deep-learning techniques, digital media recording and synthesis
media generation have become exceptionally easy. Due to open access of user-friendly …

Background: Tobacco-related promotional content on social media often features young-
looking influencers, models, or brand ambassadors who are appealing to youth; their posts …

People upload daily a huge number of portrait face pictures on websites and social media,
which can be processed using biometric systems based on the face characteristics to …