Face Detection and Face Recognition using Haar Cascade Algorithm

Human Face Detection (FD)is a demanding topic in areas of image processing and pattern identification. Facial expression conveys non-verbal cues, which plays crucial role in social relations. Facial Expression is a significant yet challenging task, as we can use it to recognize emotions and mental state of individual. In this paper, using image processing and Machine Learning (ML), we differentiate the captured image with the trained dataset and then display the state of image. These handles detection and recognizing multiple faces in real time. Face Recognition (FR) can be done using two methods like FD and FR. This paper describes use of ML algorithms in real time which is used for FD and FR that is Haar Cascade algorithm.