Disguised face recognition is a major challenge in the field of face recognition which has been taken less attention. Therefore, in this paper a disguised face recognition algorithm based on Local Phase Quantization (LPQ) method and Singular Value Decomposition (SVD) is presented which deals with two main challenges. The first challenge is when an individual intentionally alters the appearance ...

Face recognition is a popular application of pattern recognition methods, and it faces challenging problems including illumination, expression, and pose. The most popular way is to learn the subspaces of the face images so that it could be project to another discriminant space where images of different persons can be separated. In this paper, a nearest line projection algorithm is developed to ...

In face recognition literature, 2D image based approaches are possibly the most promising ones. However , the 2D images/patterns can change dramatically in practice. In this paper, we rst study the performance degradation due to 2D distortions and illumination variations on the input images. We then propose several methods to improve the system performance. Finally experiments are carried out u...

This paper introduces a new face recognition system that can be used to index (and thus retrieve) images and videos of a database of faces. New face recognition approaches are needed because, although much progress has been made to identify face taken from different viewpoints, we still cannot robustly identify faces under di erent illumination conditions, or when the facial expression changes,...

We discuss the problem of preserving the privacy of a digital face image stored in a central database. In the proposed scheme, a private face image is dithered into two host face images such that it can be revealed only when both host images are simultaneously available; at the same time, the individual host images do not reveal the identity of the original image. In order to accomplish this, w...

Lip detection is used in many applications such as face detection and lips reading. In previous works, researchers have considered whole of face image for lip detection. In this paper we propose a new algorithm. In our algorithm for reducing required calculation and increase accuracy of correct detection, we do not consider whole of the face image. We first remove the upper half part of the fac...

With the development of Transportation Highway and railroad build, mining tunnel geological exploration in the road construction in the proportion of great. This paper presents a design of image processing software of Geological Engineering images for automatic analysis and processing. At present, the technology of image processing, most algorithms are based on the specific image information of...

This paper proposes a scale invariant face detection method which combines higher-order local autocorrelation (HLAC) features extracted from a log-polar transformed image with linear discriminant analysis for \face" and \not face" classi cation. Since HLAC features of log-polar image are sensitive to shifts of a face, we utilize this property and develop a face detection method. HLAC features e...

Face recognition is an interesting topic in computer vision and object recognition. Researchers have proposed numeric recognition methods under the various conditions such as different pose, illumination and expression. However no research has been done to depict the relation between face image resolution and face recognition performance so far. In this paper, we divide the face image informati...