Abstract Face recognition system best suits several security based applications such as access control system and identity verification system. A robust system to recognise human faces, which relies upon features, is proposed in this work. Initially, the reference face is created and the features are extracted from the reference face by feature descriptors such as Local Binary Pattern (LBP), Local Vector Pattern (LVP) and Gabor Local Vector Pattern (GLVP). The extracted features are combined together and are clustered by employing cuckoo search algorithm. Finally in the testing phase, the face is recognised by Extreme Learning Machine (ELM), which differentiates faces by considering facial features. The public database ‘Faces 95’ is exploited for analysing the performance of the system. The proposed work is analysed for its performance and evaluated against existing algorithms such as Principal Component Analysis (PCA), Canonical Correlation Analysis (CCA), combination of CCA and k Nearest Neighbour (kNN) and combination of CCA and Support Vector Machine (SVM) and experimental results are satisfactory in terms of accuracy, misclassification rate, sensitivity and specificity.

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[30] Zhao W., Chellappa R., Philips P., and Rosenfeld A., “Face Recognition: A Literature Survey,” ACM Computing Surveys, vol. 35, no. 4, pp. 399- 458, 2003. Nageswara Reddy is a Research Scholar of Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada. He has 9 years of Software Industry and teaching experiences for Graduate and Post Graduate engineering courses. His current research interests are Data Warehousing, Image Processing and Cloud Computing. Mohan Rao is Professor in the Department of Computer Science and Engineering, Avanthi Institute of Engineering & Technology, Narsipatnam. He did his PhD from Andhra University and his research interests include Image Processing, Wireless Networks and Information security. He has guided more than 50 M.Tech Projects and currently guiding four research scholars for Ph.D. He received many honors and he has been the member for many expert committees, member of many professional bodies and Resource person for various organizations. Chittipothula Satyanarayana is a Professor in Department of Computer science and Engineering at Jawaharlal Nehru Technological University Kakinada. He completed B. Tech and M.Tech in computer science and engineering from Andhra University, Visakha Patnam, Andhra Pradesh. He was awarded his Doctoral degree in 2008 from J.N.T. University, Hyderabad. He has 15 years of experience. His areas of interest are Image Processing, Databases, Pattern Recognition and Network Security. He published more than 30 research papers in international journals and more than 100 research papers in international conferences. He has guided 15 Research scholars are working on different areas like Image Processing, Speech Recognition, and Pattern Recognition. He guided more than 78 M.Tech Projects, 56 MCA Projects, and 36 B.Tech Projects.