An efficient multithreading approach for localization of face parts

In this paper, we present a face part detection such as eyes, nose and mouth using shared memory programming concept of OpenMP. The task parallelism is exhibited in multiple threads of a core where each thread is assigned with different task that are independent. The existing algorithm haar classifiers has been used for face part detection where initially the face is detected, localized and then the parts are detected, localized. This proposed idea of face part detection resulted in depletion in time compared to sequential execution and increase in speedup.