期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：TAPSA
页码：218
出版社：S&S Publications
摘要：A facial recognition system is a computer application that deals with identification or verification of aperson from digital image. To eliminate the error condition, the application of face recognition system is widely used.The altering facial appearance is one of the main challenging problems faced in face recognition algorithms. Theproposed system consists of three stages namely; face detection, feature extraction and classification providing facerecognition. Initially, the face is detected from the input image and the architectural features are extracted from the facedetected image. Using classifier, the original image and morphed images is classified in reference with the featuresextracted from the detected face image. Finally, the system performs the retrieval of the original face from the morphedface. The proposed extreme learning machine algorithm yields high accuracy in face recognition technique ascompared to the other algorithms. The proposed algorithm yields proper high detection and recognition accuracy ascompared to different existing face algorithms.
