<span lang="EN-US">In the field of consumer science, customer facial expression is often categorized either as negative or positive. Customer who portrays emotion to a specific product mostly means they reject while with positive more likely purchase product. To observe emotion, many researchers have studied different perspectives and methodologies obtain high accuracy results. Convention...

In face recognition, one of the most important problems to tackle is a large amount of data and the redundancy of information contained in facial images. There are numerous approaches attempting to reduce this redundancy. One of them is information aggregation based on the results of classifiers built on selected facial areas being the most salient regions from the point of view of classificati...

The utilization of biometric products is an expanding landscape; from general consumers employing it for authenticating into their devices to governments deploying at the forefront crime and border control. One sizeable organization required expansion in offering within industryThis study aims develop a facial matching solution that offers high performance meets requirements organization’s Subj...