A faster face detection method combining Bayesian and Haar Cascade Classifiers

Face Recognition is one of the most studied topics in computer vision. But before recognizing, it is necessary to detect a face. Many methods have been developed in order to perform this but the biggest problem they face is the time it takes to detect the object. This was greatly solved with the creation of the Haar Cascade Classifiers, which made possible the real time detection. However, depending on the application, it can still be time consuming. This work presents a faster way to detect faces by combining a Bayesian classifier with Haar Cascade classifiers.