In this paper, a Fusion Feature-Level Face Recognition Model (FFLFRM) based on the
Laplacian Pyramid (LP) fusion technique is proposed. The proposed FFLFRM model …

Face recognition has become more important recently than before. The objective of this
study was to develop a face recognition model that can achieve high recognition accuracy …

This work presents a Multi-Resolution Discrete Cosine Transform (MDCT) fusion technique
Fusion Feature-Level Face Recognition Model (FFLFRM) comprising face detection, feature …

This paper proposes a weighted scheme and fuzzy logic-based feature extraction technique,
called weighted fuzzy generalized two-dimensional Fisher's linear discriminant (WFG …

A face recognition model based on a multiscale feature fusion network is constructed,
aiming to make full use of the characteristics of face and to improve the accuracy of face …

Hybrid approach has a special status among Face Recognition Systems as they combine
different recognition approaches in an either serial or parallel to overcome the shortcomings …

Face recognition is one of the challenging problems in the area of pattern detection and
recognition. It is practically applicable in different automated systems for security purpose …

Feature extraction is an important problem in face recognition. There are two kinds of
structural features, namely the Euclidean structure and the manifold structure. However, the …

One of the main issues of face recognition is to extract features from face images, which
include both local and global features. We present a novel method to perform feature fusion …

Local Binary Probabilistic Pattern (LBPP) is a local descriptor able to improve the
recognition capabilities of a typical pattern recognition system. It is a new alternative of the …