An improved face recognition-based method subjected to varying lighting is proposed. It is
performed through achieving the following steps. First, Contrast Equalization (CE) is …

Illumination variation is among the several bottlenecks in a face recognition system because
it can greatly affect the appearance of a face image, which causes a reduction in the face …

Illumination variation is one of intractable yet crucial problems in face recognition and many
lighting normalization approaches have been proposed in the past decades. Nevertheless …

This thesis presents Real-time Face Recognition using modified Eigenfaces technique and
color segmentation with Edge tracking for face detection. Eigenfaces is a fast and simple …

One of the most important challenges for practical face recognition systems is to make
recognition more reliable under uncontrolled lighting conditions. We tackle this by using …

In this study, we present a new approach to overcome the problems in face recognition
associated with illumination changes by utilizing the edge images rather than intensity …

Many previous image processing methods discard low-frequency components of images to
extract illumination invariant for face recognition. However, this method may cause distortion …

Eigenface is an effective human face recognition technique. However its performance is
affected to some extent by lighting conditions in capturing face images. In this paper, a new …

Face recognition has been widely used as identification. Face recognition has been
choosen due to its simplicity on implementation and non-invasive characteristic while deliver …