Recent theory suggests that face recognition accuracy is affected by people's motivations, with people being particularly motivated to remember ingroup versus outgroup faces. In the current research we suggest that those higher in interdependence should have a greater motivation to remember ingroup faces, but this should depend on how ingroups are defined. To examine this possibility, we used a...

1] demonstrates that simple schematic faces evoke neural responses comparable to those evoked by photographic face stimuli. The authors argue that this shows that schematic visual stimuli may still validly represent face processing, although it has been argued that such non-photographic faces lack many of the visual properties of the human face. In this commentary I would like to elaborate on t...

Despite recent advances in face recognition systems, they suffer from serious problems because of the extensive types of changes in human face (changes like light, glasses, head tilt, different emotional modes). Each one of these factors can significantly reduce the face recognition accuracy. Several methods have been proposed by researchers to overcome these problems. Nonetheless, in recent ye...

Three experiments investigated the influence of level of construal (i.e., the interpretation of actions in terms of their meaning or their details) on different stages of face memory. We employed a standard multiple-face recognition paradigm, with half of the faces inverted at test. Construal level was manipulated prior to recognition (Experiment 1), during study (Experiment 2) or both (Experim...

Face authentication is now widely used, especially on mobile devices, rather than using a personal identification number or an unlock pattern, due to its convenience. It has thus become tempting target for attackers presentation attack. Traditional attacks use facial images videos of the victim. Previous work proven existence master faces, i.e., faces that match multiple enrolled templates in f...

In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...