A Novel Technique for Face Recognition and Retrieval Using Fiducial Point Features

Face recognition and retrieval is developed into a very active research area specializing on how to extract and recognize faces within images. The various methods has been proposed for face recognition and retrieval each methods has advantage and drawbacks. The complexity in process will affects performance of the existing system make insufficient. In this paper presented a Fiducial Point Feature based segmentation of face image in the generation of feature sets. The feature set is generated based on the fiducial points such as eye brow, eye, iris, mouth and nose are extracted and segment the image based on rectangular features. The feature is generated and matching is done by Euclidean distance is used to measures a distance between two images. The experimental result shows that Fiducial Point Feature method provides better recognition rate when compared with the existing methods such as PCA and PCA with DWT.