Face Recognition using morphological method

In this paper we discussed and implemented Morphological method for face recognition using fiducial points. A new technique for extracting facial features is suggested here. This method is independent of the face expressions. In recognition process, these fiducial point are fed as inputs to a Back propagation neural network for learning and identifying a person. So with the help of this technique, recognition is applied under various facial expressions. This algorithm is tested on Grimice Database and compared with existing feature extraction techniques PCA and R-LDA. Morphological method is able to give recognition results better than PCA extracted features.