W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, Face recognition, ACM Computing Surveys, vol.35, issue.4, pp.399-458, 2003.
DOI : 10.1145/954339.954342
URL : https://hal.archives-ouvertes.fr/hal-01339319

A. Estudillo-romero and B. Escalante-ramirez, The Hermite Transform: An Alternative Image Representation Model for Iris Recognition, Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, pp.86-93, 2008.
DOI : 10.1109/TSMCB.2007.903540

V. Bevilacqua, L. Cariello, G. Carro, D. Daleno, and G. Mastronardi, A face recognition system based on Pseudo 2D HMM applied to neural network coefficients, Soft Computing, vol.2, issue.7, pp.615-621, 2008.
DOI : 10.1007/s00500-007-0253-0

K. Roy and P. Bhattacharya, Optimal Features Subset Selection Using Genetic Algorithms for Iris Recognition, Proceedings of the 5th international conference on Image Analysis and Recognition, pp.894-904, 2008.
DOI : 10.1007/978-3-540-69812-8_89

S. Attarchi, M. S. Nosrati, and K. Faez, A New Ear Recognition Approach for Personal Identification, Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications -with Aspects of Theoretical and Methodological Issues, pp.356-363, 2008.
DOI : 10.1007/978-3-540-87442-3_45

M. Butavicius, V. Macleod, R. Vast, I. Graves, and J. Sunde, An Experiment on Human Face Recognition Performance for Access Control, Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I, pp.141-148, 2008.
DOI : 10.1007/978-3-540-85563-7_23

S. Lim, K. Lee, O. Byeon, and T. Kim, Efficient Iris Recognition through Improvement of Feature Vector and Classifier, ETRI Journal, vol.23, issue.2, pp.61-70, 2001.
DOI : 10.4218/etrij.01.0101.0203

L. Ma, T. Tan, Y. Wang, and D. Zhang, Efficient Iris Recognition by Characterizing Key Local Variations, IEEE Transactions on Image Processing, vol.13, issue.6, pp.739-750, 2004.
DOI : 10.1109/TIP.2004.827237
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.5259

Y. Z. Lu, A Novel Face Recognition Algorithm for Distinguishing Faces with Various Angles International Journal of Automation and Computing, pp.193-197, 2008.

A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, 1991.
DOI : 10.1007/978-1-4615-3626-0

M. A. Jushi, Digital image processing An algorithmic approach, 2006.

Y. P. Hsieh, C. C. Chang, and L. J. Liu, A two-codebook combination and three-phase block matching based image-hiding scheme with high embedding capacity, Pattern Recognition, vol.41, issue.10, pp.3104-3113, 2008.
DOI : 10.1016/j.patcog.2008.03.021
URL : http://asiair.asia.edu.tw/ir/handle/310904400/6384

H. B. Kekre and T. K. Sarode, Fast codevector search algorithm for 3-D Vector Quantized codebook, International journal of computer and information science and engineering, pp.235-239, 2008.

C. Chang and W. Wu, Fast Planar-Oriented Ripple Search Algorithm for Hyperspace VQ Codebook, IEEE Transactions on Image Processing, vol.16, issue.6, pp.1538-1547, 2007.
DOI : 10.1109/TIP.2007.894256

B. Ramamurthi and A. Gersho, Classified Vector Quantization of Images, IEEE Transactions on Communications, vol.34, issue.11, pp.1105-1115, 1986.
DOI : 10.1109/TCOM.1986.1096468

M. K. Quweither and J. B. Farison, Classified vector quantisation using principal components, Electronics Letters, vol.34, issue.6, pp.538-540, 1998.
DOI : 10.1049/el:19980420

J. W. Kim and S. U. Lee, A transform domain Classified vector Quantizer for image coding, IEEE Trans. Circuits and Systems for Video Technology, vol.2, issue.1, pp.3-14, 1992.

S. Kim and S. U. Lee, Image Vector Quantizer based on a classification in the DCT domain, IEEE Trans. Communications, vol.39, issue.4, pp.549-556, 1991.

A. W. Young, D. C. Hay, K. H. Mcweeny, B. M. Flude, and A. W. Ellis, Matching familiar and unfamiliar faces on internal and external features, Perception, pp.737-746, 1985.
DOI : 10.1068/p140737

G. Davies, H. Ellis, and J. Shepherd, Cue saliency in faces as assessed by the " Photofit " technique, Perception, pp.263-269, 1977.

N. Nasrabadi and R. King, Image coding using vector quantization: a review, IEEE Transactions on Communications, vol.36, issue.8, pp.957-971, 1988.
DOI : 10.1109/26.3776

H. Tseng and C. Chang, A Very Low Bit Rate Image Compressor Using Transformed Classified Vector Quantization, Informatica (Slovenia), pp.335-342, 2005.

J. W. Kim and S. U. Lee, A transform domain classified vector quantizer for image coding, IEEE Trans. Circuits and Systems for Video Technology, vol.2, issue.1, pp.3-14, 1992.

T. Kanade, Picture processing by computer complex and recognition of human faces, 1973.

R. Brunelli and T. Poggio, Face recognition through geometrical features, European Conference on Computer Vision, 1992.
DOI : 10.1007/3-540-55426-2_90
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.11

M. Heenaye-mamode-khan, R. K. Subramanian, and N. Ali-mamode-khan, Representation of Hand Dorsal Vein Features Using a Low Dimensional Representation Integrating Cholesky Decomposition, 2009 2nd International Congress on Image and Signal Processing, 2009.
DOI : 10.1109/CISP.2009.5304218

L. Hong, A. Jian, S. Pankanti, and R. Bolle, Fingerprint Enhancement, WACV '96., Proceedings 3rd IEEE Workshop on, 1996.
DOI : 10.1007/0-387-21685-5_7

K. Ito, A. Morita, T. Aoki, T. Higuchi, H. Nakajima et al., A fingerprint recognition algorithm using phase-based image matching for low-quality fingerprints, IEEE International Conference on Image Processing 2005
DOI : 10.1109/ICIP.2005.1529984

K. Anil, R. P. Jain, J. Duin, and . Mao, Statistical Pattern Recognition: A Review, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol.22, issue.1, 2000.

G. Zhang, Boosting for fast face recognition, Proceedings. IEEE ICCV Workshop on, 2001.

E. Watanabe and K. Kodate, Ultra-fast facial recognition system based on vanderlugt correlator, CLEO/Pacific Rim 2003. The 5th Pacific Rim Conference on Lasers and Electro-Optics (IEEE Cat. No.03TH8671)
DOI : 10.1109/CLEOPR.2003.1274658

H. Momeni, M. T. Sadeghi, and H. R. Abutalebi, Fast face recognition using a combination of image pyramid and hierarchical clustering algorithms, 2009 International Conference on Wireless Communications & Signal Processing, 2009.
DOI : 10.1109/WCSP.2009.5371572

M. M. Sani, K. A. Ishak, and S. A. Samad, Evaluation of face recognition system using Support Vector Machine, 2009 IEEE Student Conference on Research and Development (SCOReD), 2009.
DOI : 10.1109/SCORED.2009.5443223

P. Phillips, The FERET Evaluation Methodology for Face-Recognition Algorithms, IEEE Transaction, vol.22, 2000.

Y. Utsumi, Y. Iwai, and M. Yachida, Performance Evaluation of Face Recognition in the Wavelet Domain, IEEE/RSJ International Conference on, 2006.

D. Agushinta, R. , A. Suhendra, S. Madenda, and H. S. Suryadi, Face Component Extraction Using Segmentation Method on Face Recognition System, Journal of Emerging Trends in Computing and Information Sciences, 2011.

M. Ali, M. Y. Javed1, and A. Basit, Ear Recognition Using Wavelets, Proceedings of Image and Visioin Computing, 2007.

Z. Zhong and ;. Xu, Crowd surveillance using Markov Random Fields, 2008 IEEE International Conference on Automation and Logistics, 2008.
DOI : 10.1109/ICAL.2008.4636454

J. G. Daygman, High confidence visual recognition of persons by a test of statistical independence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.11, 1993.
DOI : 10.1109/34.244676

M. V. Makwana, A. B. Nandurbarkar, S. M. Joshi, . Coll, and . Morbi, Image Compression Using Tree Structured Vector Quantization with Compact Codebook, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007.
DOI : 10.1109/ICCIMA.2007.52

C. A. Jau-yen-chen-;-bouman and J. P. Allebach, Fast image database search using treestructured VQ, Proceedings., International Conference on, 1997.

U. Park, K. Anil, and . Jain, 3D Face Reconstruction from Stereo Video, Computer and Robot Vision, 2006.

M. Zhao, T. Chua, and T. Sim, Morphable Face Reconstruction with Multiple Images, Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, 2006.

S. Lai, Reconstructing 3D Face Model with Associated Expression Deformation from a Single Face Image via Constructing a Low-Dimensional Expression Deformation Manifold, Pattern Analysis and Machine Intelligence IEEE Transactions on, 2011.

A. Weingessel and K. Hornik, Local PCA algorithms, Neural Networks IEEE Transactions, 2000.

J. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, Face Recognition Using LDA Based Algorithms, IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002.

A. M. Martinez and A. C. Kak, PCA versus LDA, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.2, 2001.
DOI : 10.1109/34.908974

T. Lindeberg, Edge detection and ridge detection with automatic scale selection, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996.
DOI : 10.1109/CVPR.1996.517113
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.4053

A. M. Martinez and R. Benavente, The AR Face Database, 1998.

P. Dimitri, Face databases, 2003.