This paper proposes a method for skin region segmentation for face images with unbalanced color and light based on preprocessing of a multicolor face image sequence. In this method, multicolor face images from a sequence are preprocessed in order to remove color offset and uneven brightness. Then the color data from the preprocessed face images are used for taking the average in order to remove...

With the rising use of facial recognition systems in a range real-world scenarios and applications, attackers are also increasing their efforts, with number spoofing techniques emerging. As result, developing reliable spoof detection mechanism is critical. Active-based have been shown to be good at finding spoofs, but they problems, such as being intrusive, expensive, hard compute, not able use...

In real-world scenarios, many factors may harm face recognition performance, e.g., large pose, bad illumination,low resolution, blur and noise. To address these challenges, previous efforts usually first restore the low-quality faces to high-quality ones then perform recognition. However, most of methods are stage-wise, which is sub-optimal deviates from reality. this paper, we all challenges j...

Face Recognition (FR) systems are increasingly gaining more importance. Face detection and tracking in a complex scene forms the first step in building a practical FR system. In this paper, a method to detect and track human faces in color image sequences is described. Skin color classification and morphological segmentation is used to detect face(s) in the first frame. These detected faces are...

If we consider an n x n image as an n2 dimensional vector, then images of faces can be considered as points in this n2-dimensional image space. Our previous studies of physical transformations of the face, including translation, small rotations and illumination changes, showed that the set of face images consists of relatively simple connected sub-regions in image space [1]. Consequently linear...

We present a method for decomposing a single face photograph into its intrinsic image components. Intrinsic image decomposition has commonly been used to facilitate image editing operations such as relighting and re-texturing. Although current single-image intrinsic image methods are able to obtain an approximate decomposition, image operations involving the human face require greater accuracy ...

Evidently, the results of a face recognition system can be influenced by image illumination conditions. Regarding this, the authors proposed a system using wavelet-based contourlet transform normalization as an efficient method to enhance the lighting conditions of a face image. Particularly, this method can sharpen a face image and enhance its contrast simultaneously in the frequency domain to...