This paper proposes a hybrid approach to face recognition based on a combination of
probabilistic neural networks (PNNs) and improved kernel linear discriminant analysis …

This paper presents a novel automatic face recognition approach based on local binary
patterns. This descriptor considers a local neighbourhood of a pixel to compute the feature …

In this paper, the performance of the proposed Convolutional Neural Network (CNN) with
three well-known image recognition methods such as Principal Component Analysis (PCA) …

Color face recognition has more attention recently since it considered one of the most
popular biometric pattern recognitions. With a considerable development in multimedia …

Abstract Face recognition with Kernel Sparse Representation based Classification (KSRC)
has shown its great classification performance, and as an extension of Sparse …

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 …

This paper introduces an efficient method for the recognition of human faces in 2D digital
images using a feature extraction technique that combines the global and local information …

As one of the hot topics in the field of computer vision research, face recognition technology
has received significant attention due to its potentiality for a wide range of applications in …

Face Recognition is an efficient technique and one of the most liked biometric software
application for the identification and verification of specific individual in a digital image by …

In the paper we propose a novel method for face recognition using contourlet transform
(CNT) and curvelet transform (CLT) which improves rate of face recognition under different …