A Hybrid Facial Feature Optimisation Approach Using Bezier Curve

Image processing is one of the weighty aspects of signal processing where input is an image, which may be a photograph or a video frame from database or any image acquired on real-time basis using frame grabber hardware. The result of image processing is processed image or parameters related to the input image, which is prominently face in case of identity recognition of the human. In the current scenario where security is the principal issue, face recognition is vital importance which can be done by facial features with and without emotions. In the process of face recognition various steps are involved normally as face detection, facial feature extraction and face recognition using any framework. The importance of feature extraction method is foremost in the image recognition techniques. In the proposed approach Harris corner points are considered as significant feature which are optimised using Bezier Curve in turn this low dimension feature vector is used in Image recognition.