Identification technology based on biometrics is a branch of research that employs the
unique individual traits of humans to authenticate identity, which is the most secure method …

Deep learning technology has enabled successful modeling of complex facial features when
high-quality images are available. Nonetheless, accurate modeling and recognition of …

Recognizing a face is a remarkable process that humans naturally use. Computer vision has
tried to resemble this ability of human vision as a biometric tool to identify humans …

Biometric-based recognition has been replacing conventional recognition methods in
security systems. Modern electronic devices such as smartphones and online services have …

Face recognition and biometrics are based on a specific and unique person identification.
This procedure is completely dependent on matching the image and other individual image …

Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face
identification (Phillips et al., 2018), though it is unclear how accurately they discriminate …

High similarity in facial appearances of twins has complicated the facial feature-based
recognition task. This paper introduces a Distinctive Landmark-based Face Recognition …

Humans have bilateral body symmetry such that the left and right sides are mirror images of
each other. This study tries to measure the performance on human recognition where the …

Craniofacial superimposition concerns the photographic overlay of skulls and faces, for
skeletal identification. As a phased method that depends on photographic optics first and …

Face recognition domain has been well advanced and has achieved high accuracies in
identification of individuals in recent years. But in practice, distinguishing similar faces such …