Abstract: The ‘Real Time Face Detection and Recognition’ represents a face parts information analyser, as a promising model for detecting faces and locating the facial features in images. The main objective is to build fully automated human facial measurements systems from images with complex backgrounds. Detection of facial features such as eye, nose, and mouth is an important step for many subsequent facial image analysis tasks. This paper presents the study of the tasks detection, landmark localization and measurement facial part by traditional approaches as separate problems with different techniques. The study is followed by a possible novel and simple model approach based on a mixture of techniques and algorithms in a shared pool.
Keywords: Real time, face recognition, face detection, facial features.