Automatic Face Recognition (FR) presents a challenging task in the field of pattern
recognition and despite the huge research in the past several decades; it still remains an …

Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

This paper aims to develop a novel cost-effective framework for face identification, which
progressively maintains a batch of classifiers with the increasing face images of different …

In this paper, we introduce a real-time face recognition (and announcement) system targeted
at aiding the blind and low-vision people. The system uses a Microsoft Kinect sensor as a …

This paper presents a new joint feature learning (JFL) approach to automatically learn
feature representation from raw pixels for face recognition. Unlike many existing face …

We present a polarimetric thermal face database, the first of its kind, for face recognition
research. This database was acquired using a polarimetric longwave infrared imager …

In recent years, person reidentification has received growing attention with the increasing
popularity of intelligent video surveillance. This is because person reidentification is critical …

Although visible face recognition has been an active area of research for several decades,
cross-modal face recognition has only been explored by the biometrics community relatively …

Automatic data classification is a computationally intensive task that presents variable
precision and is considerably sensitive to the classifier configuration and to data …

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 …