SMILE DETECTION

Smile detection from facial images is a specialized task in facial expression analysis with many potential applications such as smiling payment, patient monitoring and photo selection (Zhang et. al 2015). In this project, we propose to use Haar cascades; a machine learning object detection algorithm used to identify objects in an image or video based upon peer review study "Rapid Object Detection using a Boosted Cascade of Simple Features" . With the help of computer systems, the tasks of figuring out expressions and the reasons behind it become easier. Machine learning is used in order to study the complicated reasons behind human emotions and figure out the secret behind human emotions.