Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …

Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

We propose a novel coupled mappings method for low resolution face recognition using
deep convolutional neural networks (DCNNs). The proposed architecture consists of two …

Low-resolution face recognition (LRFR) has received increasing attention over the past few
years. Its applications lie widely in the real-world environment when high-resolution or high …

Sparsity has long been a theoretical and practical signal property in applied mathematics
and is utilized as a crucial concept in signal/image processing applications such as …

This work introduces a high-efficiency approach for face recognition applications based on
features using a recent algorithm called Floor of Log (FoL). The advantage of this method is …

This paper describes the study of conditions and parameter settings of the algorithm, that
underlies in the basis of information technology of person recognition and identification, for …

Researchers from leading technology companies, prestigious universities worldwide, and
the open-source community have made substantial strides in the field of facial recognition …

Facial recognition is an important research topic in biometric authentication to provide a
secure access to a computer system. Due to intra and inter personal variations, facial …

Automatic face recognition systems have achieved impressive performance in the last
decade, thanks to the advances of deep learning techniques. However, these methods are …