In the previous decade, one of the most effectual applications of image analysis and indulgent that attracted significant consideration is the human face recognition. One of the diverse techniques used for identifying an individual is the Face recognition. Normally the image variations for the reason that of the change in face identity are less than the variations between the images of the same...

Face image quality estimation is still an open issue since, unlike what happens for other biometric characteristics such as fingerprints, no standard definitions are available yet. The problem even harder when the focus of assessment context electronic ID documents which, according to provisions ISO/IEC 39794-5, a value will be stored in future dedicated blocks. In case high images, general ind...

Extract of facial feature points has become an important issue in many applications, such as face recognition, expression recognition, and face detection. A method of facial feature extraction-based and corner detection is presented in this paper. In this method we develop a technique for extracting the facial features from a color image captured by the online webcam, under normal lighting cond...

Because of its nonrigidity and complex three-dimensional (3D) structure, the appearance of a face is affected by a large number of factors including identity, face pose, illumination, facial expression, age, occlusion, and facial hair. The development of algorithms robust to these variations requires databases of sufficient size that include carefully controlled variations of these factors. Fur...

An expression-invariant 3D face recognition approach is presented. Our basic assumption is that facial expressions can be modelled as isometries of the facial surface. This allows to construct expression-invariant representations of faces using the canonical forms approach. The result is an efficient and accurate face recognition algorithm, robust to facial expressions that can distinguish betw...

This paper presents a face detection technique and its applications in image retrieval. Even though this face detection method has relatively high false positives and low detection rate (as compared with the dedicated face detection systems in the literature of image understanding), due to its simple and fast nature, it has been shown that this system may be well applied in image retrieval in c...