Face Extraction Using Skin Color and PCA Face Recognition in a Mobile Cloudlet Environment

Mobile devices and mobile computing play an important role in the day to day life of people. Nowadays mobile devices are capable of doing very complex applications. But because of the resource scarcity of mobile devices, the compute intensive applications, like computer vision applications, are still found to be very difficult to execute on mobile devices. As a solution cyber foraging, where mobile devices offload either computation or data or both to a device within their network, can be applied. This paper explains our work in which we have successfully implemented a principal component analysis(PCA) based face recognition using VMBased cloudlet. In the face detection phase we are using a skin color based approach to extract the face region by which the accuracy and speed of the application is found to be increased.