Abstract

Face recognition is very important in computer vision. For human being it is easy to identify human face in any posture but it is not an easy task for systems. Feature extraction is useful technique for recognizing faces through systems. It is used for security, criminal records or identification, verification of person, etc. In face images there are variety of face posture. The question is, How to recognize the face? In this paper, discuss certain approaches for face recognition by using feature extraction along with the issues and the recommendations as to which approach is better and suitable.

References

• IS THERE ANY HOPE FOR FACE RECOGNITION?,Luis Torres,Technical University of Catalonia, Barcelona, Spain.
• Teja, G. P. ; Ravi, S. , "Face recognition using subspaces techniques", Recent Trends In Information Technology (ICRTIT), 2012 International Conference.
• Jafri, Rabia; Arabnia, Hamid R, "Analysis of Subspace-based Face Recognition Techniques under Changes in Imaging Factors" ITNG '07. Fourth International Conference on, Publication Year: 2007 , Page(s): 406 – 413.
• Liu Zunxiong; Zeng Lihui; Zhang Heng , "Appearance-Based Subspace Projection Techniques for Face Recognition" Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium, Page(s): 202 – 205.
• Patil, A. M. ; Kolhe, S. R. ; Patil, P. M. " Face Recognition by PCA Technique" Emerging Trends in Engineering and Technology (ICETET), 2nd International Conference on 2009, Page(s): 192 – 195.
• Rajkumar, N. ; Vijayakumar, S. ; Murukesh, C "Intellectually combined face recognition using curvelet based principle component analysis for feature extraction and Bayesian Classifier" Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference ,Page(s): 374 – 378.
• Xiaozhe Wang; Jinping Wang; Chenyang Li" Studies on human face recognition based on greedy kernel principal component analysis "Control and Decision Conference (CCDC), 2012 24th Chinese Year: 2012 , Page(s): 1446 – 1449.
• Ebied, H. M. " Feature extraction using PCA and Kernel-PCA for face recognition "Informatics and Systems (INFOS), 2012 8th International Conference 2012 , Page(s): MM-72 - MM-77.
• Jianke Li; Baojun Zhao; Hui Zhang; Jichao Jiao" Face Recognition System Using SVM Classifier and Feature Extraction by PCA and LDA Combination" Jiao Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference 2009 , Page(s): 1 – 4.
• Hidayat, E. ; Fajrian, N. A. ; Muda, A. K. ; Huoy, C. Y. ; Ahmad, S. "A comparative study of feature extraction using PCA and LDA for face recognition" . Information Assurance and Security (IAS), 2011 7th International Conference Publication Year: 2011 , Page(s): 354 – 359.
• Chowdhury, S. ; Sing, J. K. ; Basu, D. K. ; Nasipuri, M. "A Hybrid Approach to Face Recognition Using 1Generalized Two-Dimensional Fisher's Linear Discriminant Method ". Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference Publication Year: 2010 , Page(s): 506 – 511.
• Yousra BEN JEMAA; Sana KHANFIR "Automatic local Gabor features extraction for face recognition" (IJCSIS) International Journal of Computer Science and Information Security,Vol. 3, No. 1, 2009.
• R. L. Hsu, M. A. Mottaleb and A. K. Jain, Face detection in color images, IEEE Trans on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, pp. 696-706, May 2002.
• Bellakhdhar, F. ; Bousselmi, M. ; Abid, M. "Face identification using the magnitude and the phase of Gabor wavelets and PCA". Multimedia Computing and Systems (ICMCS), 2012 International Conference, Publication Year: 2012 , Page(s): 244 – 249.
• Kabeer, V. ; Thasleema, T. M. ; Narayanan, N. K. ," Face Recognition Using State Space Parameters and K-NN Classifier". Innovations in Information Technology, 2007. IIT '07. 4th International Conference Publication Year: 2007 , Page(s): 476 – 480.
• Abdel-Kader, R. F. ; Ramadan, R. M. ; Rizk, R. Y. ," A hybrid rotation-invariant face recognition system using Log-Polar Transform". Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on, Publication Year: 2009 , Page(s): 585 – 590.
• Yaghoubi, Z. ; Faez, K. ; Eliasi, M. ; Motamed, S. , "Face recognition using HMAX method for feature extraction and support vector machine classifier " Image and Vision Computing New Zealand, 2009. IVCNZ '09. 24th International Conference Publication Year: 2009 , Page(s): 421 - 424 .
• Rahman, S. ; Naim, S. M. ; Al Farooq, A. ; Islam, M. M. ," Curvelet texture based face recognition using Principal Component Analysis "Computer and Information Technology (ICCIT), 2010 13th International Conference, Publication Year: 2010 , Page(s): 45 - 50 .