A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions

Face recognition is the emerging branch of bio-metric for security as no faces can be defeated as a security approach. Face detection can be used in some practical applications, such as face registration and preliminary part of face recognition, face expression analysis etc. The advances in real-world face detection technique, begins with a seminal Viola-Jones Face Detector Methodology. This technique is categorized into two schemes: rigid templates, boosting based methods. Face recognition to exploit many facial activities like anger, happiness and sadness. This paper presents the a new technique for detect human emotions from images as well as from videos.