Recently, research communities on Computer Vision and biometrics have shown a lot of
interest in face verification and classification methods. Fighting against Child Sexual …

In light of current developments in dental care, dental professionals have increasingly used
deep learning methods to get precise diagnoses of oral problems. Using intraoral X-rays in …

The human vision system can efficiently recognize multiscale objects in cluttered
backgrounds. The scheme can be achieved with a visual attention mechanism by …

Today, face recognition is the most prevalent and effective mechanism among various
biometric technologies as it is non-invasive method. It helps in identifying or verifying the …

Masked face recognition gained importance after the outbreak of COVID-19 when people
started wearing facial masks to protect themselves against disease. The performance of …

Similarity measure generally exerts a crucial role in face recognition. Recently, regression
analysis based similarity measure mechanism has demonstrated significant potential in …

Accurate recognition of person identity is a critical task in civil society for various application
and different needs. There are different well-established biometric modalities that can be …

Facial occlusions like sunglasses, masks, caps etc. have severe consequences when
reconstructing the partially occluded regions of a facial image. This paper proposes a novel …

Face recognition from non-identical face photos is a prominent area of research in pattern
recognition and computer vision. Existing face recognition systems struggle with diverse …

Developing the face detection and recognition system is one of the most demanding and
challenging tasks in the recent days. For this purpose, there are different types of image …