Face recognition is required in various applications, and major progress has been
witnessed in this area. Many face recognition algorithms have been proposed thus far; …

Recent studies highlighted on face recognition methods. In this paper, a new algorithm is
proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and …

At present there are many methods that could deal well with frontal view face recognition.
However, most of them cannot work well when there is only single example image per …

Feature extraction is one of the important tasks in face recognition. Moments are widely used
feature extractor due to their superior discriminatory power and geometrical invariance …

One of the main challenges faced by the current face recognition techniques lies in the
difficulties of collecting samples. Fewer samples per person mean less laborious effort for …

This work proposes a novel face recognition method based on Zernike moments (ZMs) and
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …

This paper designs a novel human face recognition method, which is mainly based on a
new feature extraction method and an efficient classifier–random weight network (RWN). Its …

This paper presents a single image face recognition approach called Laplacian of Gaussian
(LOG) and Discrete Cosine Transform (DCT). The proposed concept highlights a major …

Because of the current COVID-19 circumstances in the world and the tremendous
technological developments, it has become necessary to use this technology to combat the …

Face Recognition has crucial effects in daily life especially for security purposes and their
tasks are actively being used for many applications. In this study, we introduce a hybrid face …