Face recognition is one of the biometric technologies that is mostly used in surveillance and
law inforcement for identification and verification. However, face recognition remains a …

Decoupling the mixed face features to obtain identity features that are not disturbed by age
information is the key to achieving cross-age face recognition. Established mainstream …

This paper presents comparative evaluation of an application of deep convolutional neural
networks (dCNNs) to age invariant face recognition. To this end, we use four distinct dCNN …

Due to its capacity to account for age-related changes in the face, Age Invariant Face
Recognition (AIFR) has long been a topic of intense interest in the field of computer vision …

Face recognition (FR) has drawn intensified interest and attention in the domain of computer
vision. FR has been researched for the last three decades but, still it is a challenging …