8. Bibliography. [2] Andrea F. Abate, Michele Nappi, Daniel Riccio, Gabriele Sabatino, 2D and 3D face recognition: A survey, PG.NO , 2007.

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1 Bibliography [1] A.S. Tolba, A.H. El-Baz, and A.A. El-Harby, Face Recognition: A Literature Review, International Journal of Signal Processing 2; 2 spring [2] Andrea F. Abate, Michele Nappi, Daniel Riccio, Gabriele Sabatino, 2D and 3D face recognition: A survey, PG.NO , [3] A.Saradha and S. Annadurai, A Hybrid Feature Extraction Approach for Face Recognition Systems, ICGST-GVIP Journal, Volume (5), Issue (5), May [4] Chunghoon Kim, Jiyong Oh, and Chong-Ho Choi, Combined Subspace Method Using Global and Local Features for Face Recognition Proceedings of International Joint Conference on Neural Networks, Montreal, Canada, July 31 - August 4, 2005, Page(s): [5] Mandal, B. Jiang, X.D. Kot, A. Multi-Scale Feature Extraction for Face Recognition - Sch. of Electrical & Electronics Engineering., Nanyang Technol. Univ- May 2006 (This paper appears in: Industrial Electronics and Applications, ST IEEE Conference) [6] Mazloom, M.; Ayat, S. Combinational Method for Face Recognition: Wavelet, PCA and ANN Computing: Techniques and Applications, DICTA '08. [7] Mehrtash T. Harandi, Majid Nili Ahmadabadi, and Babak N. Araabi, A Hybrid Model For Face Recognition Using Facial Components, Signal Processing and Its Applications, ISSPA th International Symposium on Feb page(s): 1 4. [8] Suvendu Mandal, Bibhas Chandra Dhara, A Hybrid Face Recognition Method Based on Structural and Holistic Features, 2009 Seventh International Conference on Advances in Pattern Recognition, /ICAPR.2009, PG.NO [9] Dattatray V. Jadhav, Jayant V. Kulkarni, Raghunath S. Holambe, Multiresolution Feature Based Fractional Power Polynomial Kernel Fisher Discriminant Model for Face Recognition, vol. 3, no. 1, May 2008

2 173 [10] Jahan Zeb, Muhammed Younus Javed and Usman Qayyum Low resolution single neural network based face recognition International journal of Biomedical Sciences volume 2 number ISSN , pg [11] Zhifei Wang and Zhenjiang Miao, Scale-Robust Feature Extraction for Face Recognition, 17th European Signal Processing Conference (EUSIPCO 2009) Glasgow, Scotland August 24-28, [12] Eleyan, A. & Demirel, H. (2005). Face Recognition System based on PCA and Feed forward Neural Networks, Proceedings of Computational Intelligence and Bioinspired Systems, pp , June 2005, Springer-Verlag, Barcelona [13] Jianke Li, Baojun Zhao Hui Zhang Jichao Jiao, Face Recognition System Using SVM Classifier and Feature Extraction by PCA and LDA Combination, Computational Intelligence and Software Engineering, CiSE International Conference on Dec On page(s): 1 4. [14] M. Savvides, R. Abiantun, J. Heo, C. Xie and B.V.K Vijayakumar, "Partial & Holistic Face Recognition on FRGC-II data using Support Vector Machine", Proc. on Computer Vision and Pattern Recognition Workshop (CVPRW2006), p. 48, [15] Ping Du, Yankun Zhang, Chongqing Liu, Face Recognition using Multi-class SVM, The 5th Asian Conference on Computer Vision, January 2002, Melbourne, Australia. [16] Sandhya Arora. Debotosh Bhattacharjee, Mita Nasipuri, L. Malik, M. Kundu and D. K. Basu, Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition, Vol. 7, Issue 3, May 2010 [17] Kiminori Sato, Shishir Shah, J.K. Aggarwal Partial Face Recognition using Radial Basis Function Networks, Automatic Face and Gesture Recognition, Proceedings Third IEEE International Conference on Volume, Issue, Apr 1998 Page(s): [18] S. Gutta, and H. Wechsler, "Partial Faces for Face Recognition: Left vs Right," Springer, LNCS 2756 (CAIP 2003), pp , [19] Z.Chuan Chin Teo, Han Foon Neo, Andrew Beng Jin Teoh, A Study on Partial Face Recognition of Eye Region, pg no: 46-49, 2007 IEEE

3 174 [20] Srinivas Gutta, Vasanth philomin and Miroslav Trajkovic An Investigation into the use of Partial-Face Recognition Proceedings of the fifth IEEE International Conference on Automatic Face and Gesture Recognition (AFGR 02) [21] Shuliang Wang Xiao FengHehua Chi Xiuling Wang, Localization and Extraction on the Eyes, Nose and Mouth of Human Face. [22] Md. Omar Faruqe, Md. Al Mehedi Hasan, Face Recognition Using PCA and SVM. [23] Lih-Heng Chan, Sh-Hussain Salleh, Chee-Ming Ting, A.K. Ariff, "Face identification and verification using PCA and LDA,", Proc. IEEE, 3 rd Int. Symp. on Information Technology, Angust2008. [24] L. Sirovitch and M. Kirby, Low-dimensional procedure for the characterization of human faces, Journal of the Optical Society of America A, vol. 2, pp , [25] M. Turk and A. Pentland Face recognition using eigenfaces, In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp , [26] P. Belhumeur, P. Hespanha, and D. Kriegman, Eigenfaces vs fisherfaces: Recognition using class specific linear projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp , [27] M. Fleming and G. Cottrell, Categorization of faces using unsupervised feature extraction, In Proc. IEEE IJCNN International Joint Conference on Neural Networks, pp , [28] D. J. Beymer, Face recognition under varying pose, A.I. Memo 1461, Center for Biological and Computational Learning, M.I.T., Cambridge, MA, [29] U.S. Department of Defense, Facial Recognition Vendor Test, 2000, Available: htm. [30] M. A. Peterson and G. Rhodes, Perception of Faces, objects and scenes. Analytic and Holistic Processes. Oxford Univ. Press

4 175 [31] Adini, Y., Moses, Y., Ullman, S., Face recognition: The problem of compensating for changes in illumination direction. IEEE Trans. Pattern Anal. Machine Intell. 19 (7), , July. [32] Gao, Y., Leung, M.K.H., Face recognition using line edge map. IEEE Trans. Pattern Anal. Machine Intell. 24 (6), [33] Li, Q., Ye, J., Kambhamettu, C., Linear projection methods in face recognition under unconstrained illuminations: A comparative study. In: Proc IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR04). [34] Okada, K., von der Malsburg, C., Pose-invariant face recognition with parametric linear subspaces. In: Fifth IEEE Internet. Conf. on Automatic Face and Gesture Recognition, May, pp [35] Lanitis, A., Taylor, J.C., Robust face recognition using automatic age normalization. In: 10th Mediterranean Electrotechnical Conf., MEleCon. Vol. 2, pp [36] Lanitis, A., Taylor, J.C., Timothy, F.C., Toward automatic simulation of aging effects on face images. IEEE Trans. Pattern Anal. Machine Intell. 24 (4), [37] R. Bruneli and T. Poggio, Face recognition: features versus templates, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, pp , [38] R.J. Baron, Mechanism of human facial recognition, Int'l J. Man Machine Studies, vol. 15, pp , [39] T. Vetter and T. Poggio, "Linear object classes and image synthesis from a single example image," IEEE Trans. Pattern Analysis and Machin Intelligence, Vol. 19, no. 7, pp , July [40] S. Tamura, H. Kawa, and H. Mitsumoto, Male/Female identification from 8_6 very low resolution face images by neural network, Pattern Recognition, vol. 29, pp , [41] T. Kanade, Picture processing by computer complex and recognition of human faces, technical report, Dept. Information Science, Kyoto Univ., [42] A.J. Goldstein, L.D. Harmon, and A.B. Lesk, Identification of human faces, Proc. IEEE, vol. 59, pp. 748, 1971.

5 176 [43] Y. Kaya and K. Kobayashi, A basic study on human face recognition, Frontiers of Pattern Recognition, S. Watanabe, ed., pp. 265, [44] I.J. Cox, J. Ghosn, and P.N. Yianios, Feature-Based face recognition using mixture-distance, Computer Vision and Pattern Recognition, [45] Manjunath, R. Chellappa, and C. von der Malsburg, A Feature based approach to face recognition, Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, pp , [46] M. Turk and A. Pentland, Eigenfaces for recognition, J. Cognitive Neuroscience, vol. 3, pp , [47] M. Kirby and L. Sirovich, Application of the Karhunen- Loève procedure for the characterisation of human faces, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, pp , Dec [48] M.A. Grudin, A compact multi-level model for the recognition of facial images, Ph.D. thesis, Liverpool John Moores Univ., [49] L. Zhao and Y.H. Yang, Theoretical analysis of illumination in PCA based vision systems, Pattern Recognition, vol. 32, pp , [50] Pentland, B. Moghaddam, and T. Starner, View-Based and modular eigenspaces for face recognition, Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, pp , [51] K. Chang, K.W. Bowyer and S. Sarkar, Comarison and combination of ear and face images in appearance-based biometrics, IEEE Trans. On Pattern analysis and machine intelligence, vol. 25, no. 9, September [52] Hong Duan, Ruohe Yan, Kunhui Lin, Research on Face Recognition Based on PCA, / IEEE. [53] Chunyan Xie, Marios Savvides and B.V.K. Vijaya Kumar, Comparison of Feature Space Methods for Face Recognition, Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 06), 2006 IEEE

6 177 [54] Lu, J., Plataniotis Kostantinos, N., Venetsanopoulos Anastasios, N., Face recognition using LDA-based algorithms. IEEE Trans. Neural Networks 14 (1), [55] Martinez, A.M., Kak, A.C., PCA versus LDA. IEEE Trans. Pattern Anal. Machine Intell. 23 (2), [56] L.-F. Chen, H.-Y. Mark Liao, M.-T. Ko, J.-C. Lin, and G.-J. Yu, A new LDA-based face recognition system which can solve the small sample size problem, Pattern Recognition, 33, pp , [57] W. Zheng, C Zou, and L. Zhao, Real-time face recognition using Gram-Schmidt orthogonalization for LDA, CPR 04, August, 2004, Cambridge UK, pp [58] W. Zhao, R. Chellapa, A. Krishnaswamy. "Discriminant Analysis of Principal Components for Face Recognition," In Proceedings of the 3 rd International Conference on Automatic Face and Gesture Recognition, pages , [59] D. Swets and J. Weng. "Using discriminant eigenfeatures for image retrieval," IEEE trans. on Pattern Analysis and Machine Intelligence, 8: , [60] K. Delac, M. Grgic, P. Liatsis. "Appearance-based Statistical Methods for Face Recognition," 47 th, International Symposium ELMAR-2005, June 2005, Zadar, Croatia. [61] A.M. Martinez and A.C. Kak. "PCA versus LDA," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 23, No.2, pp , [62] D. Damien, C. Christopher, R. Jonas, and D. Andrrzej. Multimodal biometric for identity documents, state-of-the-art. MBioD Research Report PSF , Unil, France, September [63] H. H. J. Kim. Survey paper: Face detection and face recognition. Research Report, University of Saskatchewan, Departement of Computing Science, Canada, [64] S. Shiguang, G. Wen, and Z. Debin. Face recognition based on facespecific subspace. Wiley Periodicals, Inc, Institute of Computer Technology, Department of Computer Science, Harbin, China, 2003.

7 178 [65] X. Tan, S. Chen, Z. Zhou, and F. Zhang. Face recognition from single image per person: A survey. Pattern Recognition Letters, 39: , September [66] G. loulia and S. Veikko. Detection of facial landmarks from neutral, happy, and disgust facial images. In WSCG 2005 conference proceedings, Finland, January 31-February [67] P.T. Bao. Fast multi-face detection using facial component based validation by fuzzy logic. In Proceedings of the International conference on Image Processing and Computer Vision (IPCV'06), Las Vergas, Nevada, USA, pages , [68] B.S. Venkatesh, S. Palanivel, and B. Yegnanarayana. Face detection and recognition in an image sequence using eigenedginess. In Proceedings of Indian Conference on Computer Vision, Graphics and Image Precessing, India, pages , [69] S. Zoltan and S. Tamas. Face analysis using cnn-um. In Proceedings of IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2004), Budapest, pages , December [70] J.G. Wang and E. Sung. Frontal-view face detection and facial feature extraction using color and morphological operations. Pattern Recognition Letters, 20: , july [71] Y. Tian and R.M. Bolle. Automatic detecting neutral face for face authentication and facial expression analysis. Computer Science Research Report, IBM Thomas J. Watson Research Center, [72] Y. Taro, H. Wu, and M. Yachida. Automatic detection of facial feature points and contours. In IEEE International Workshop on Robot and Human Communication, number /96, [73] B. Selin, M.M. Bulut, and A. Volkan. Projection based method for segmentation of human face and its evaluation. In Pattern Recognition Letters, volume 23, pages , [74] B. Heisele, T. Serre, and T. Paggio. A component-based framework for face detection and identification. International Journal of Computer Vision (IJCV), Springer Science and Business Media, 74(2): , 2006.

8 179 [75] S.M. Bileschi and B. Heisele. Advances in component based face detection. In Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'03), Computer Society, USA, [76] A. Paolo, M. Baltatu, and D. Rosalia. User authentication based on face recognition with support vector machine. In Proceedings of the 3rd Canadian Conference on Computer and Robot Vision (CRV'06), IEEE Computer Society, USA, [77] V. Bruce. Recognizing faces. Lawrence Erlbaum Associates, London, U.K. [78] P. Penev and J. Atick. Local feature analysis: A general statistical theory for object representation. Netw.: Computat. Neural Syst., 7: [79] D. L. Ruderman. The statistics of natural images. Netw.: Comput. Neural Syst., 5: [80] L. Sirovich. M. Kirby. Application of the karhunen-loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(1): , January [81] Heisele B. Huang, J. and V. Blanz. Component-based face recognition with 3d morphable models. Proceedings, International Conference on Audio- and Video-Based Person Authentication., [82] Serre T. Pontil M. Heisele, B. and T. Poggio. Component-based face detection. Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, [83] Vetter T. Blanz, V. A morphable model for the synthesis of 3d faces. Proceedings, SIGGRAPH99., pages [84] Vetter T. Blanz, V. Face recognition based on fitting a 3d morphable model. IEEE Trans. Patt. Anal. Mach. Intell., 25: , [85] Cristina Conde, Antonio Ruiz, and Enrique Cabello, PCA vs Low Resolution Images in Face Verification, Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP'03) /03, 2003 IEEE.

9 180 [86] S. Baker and T. Kanade, Hallucinating Faces, The fourth International Conference on Automatic face and Gesture Recognition, [87] C. Liu, H.Y. Shum and C.S. Zhang,.A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local nonparametric Model,. In Proc. IEEE International Conference on Computer Vision and Pattern Recogntion, [88] Jingdong Wang, Changshui Zhang, Heung-Yeung Shum, Face Image Resolution Versus Face Recognition Performance Based On Two Global Methods. [89] Yong Xu, Zhong Jin, Down-sampling face images and low-resolution face recognition, /08, 2008 IEEE [90] M. Almas Anjum, M. Younus Javed, and A. Basit, A New approach to face recognition using dual dimension reduction, International Journal of Signal Processing Volume 2 Number 1 [91] Martinez, A.M., Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. Pattern Anal. Machine Intell. 24 (6), [92] H. J. Oh, K. M. Lee and S. U. Lee, "Occlusion invariant face recognition using selective LNMF basis images," Proc. Asian Conf. on Computer Vision (ACCV 2006), Jan [93] F. Tarres and A. Rama, "A novel method for face recognition under partial occlusion or facial expression variations," International Symposium on Multimedia Systems and Applications. (ELMA 2005), pp , June [94] Kurita, T., Pic, M., Takahashi, T., Recognition and detection of occluded faces by a neural network classifier with recursive data reconstruction. In: IEEE Conf. on Advanced Video and Signal Based Surveillance, July, pp [95] R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, John Wiley & Sons, 2nd Edition, [96] Papoulis, A. & Pillai, U. (2002). Probability, random variables, and Stochastic Processes, McGraw-Hill, , New York [97] Haykin, S. (1999). Neural Networks: A comprehensive foundation, Prentice Hall, , New Jersey

10 181 [98] M. J. Er, S. Wu, J. Lu, and H. L. Toh, Face recognition with radial basis function(rbf) neural networks, IEEE Trans. On Neural Networks, Vol. 13, No. 3 (2002) [99] J. Haddadnia, K. Faez, M. Ahmadi, N-feature neural network 11human face recognition, Proc. Of the 15th Intern. Conf. on Vision Interface, Vo.22, Issue 12, (2004) [100] A. D. Kulkarni, Computer Vision and Fuzzy-Neural Systems, Prentice-Hall, [101] D. A. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Prentice-Hall, 2003, pp [102] J.W. Hines, Fuzzy and Neural Approaches in Engineering, John Wiley & Sons (1997). [103] A.S Tolba, A.H. E1 Baz, A.H. E1 Harby, Face Recognition: A Literature Review international journal of signal processing volume 2 number ISSn , pg [104] C. Liu and H. Wechsler, Enhanced Fisher Linear Discriminant Models for Face Recognition, Proc. Int l Conf. Pattern Recognition, vol. 2, pp , [105] K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, New York, [106] P. Penev and J. Atick, "Local Feature Analysis: A General Statistical Theory for Object Representation," Network: Computation Neural Sys., vol. 7, pp , [107] A. Lanitis, C. J. Taylor and T. F. Cootes, "Automatic Face Identification System Using Flexible Appearance Models," Image Vis. Comput. vol. 13, pp , 1995.

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