Abstract
Biometrics is the study of methods for identifying a person based on one or more intrinsic physical or behavioral traits. After decades of research activities, biometrics has advanced to a great extent both in practical technology and theoretical discovery to meet the increasing need of biometric deployments. This paper depicts a detailed coverage on the research problems with their solutions in face recognition biometrics. The contributions also present the pioneering efforts and state-of-the-art results, with special concentration on practical issues concerning system development.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bhattacharyya, D., Ranjan, R., Farkhod Alisherov, A., Choi, M.: Biometric Authentication: A Review. International Journal of u- and e- Service, Science and Technology 2(3), 13–28 (2009)
Tan, C.-W., Kumar, A.: Unified Framework for Automated Iris Segmentation Using Distantly Acquired Face Images. IEEE Transactions On Image Processing 21(9), 4068–4079 (2012)
Fan, C.-N., Zhang, F.-Y.: Homomorphic filtering based illumination normalization method for face recognition. Pattern Recognition Letters 32, 1468–1479 (2011)
Hwang, W., Wang, H., Kim, H., Kee, S.-C., Kim, J.: Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation. IEEE Transactions on Image Processing 20(4), 1152–1165 (2011)
Nabatchian, A., Abdel-Raheem, E., Ahmadi, M.: Pattern Recognition 44, 2576–2587 (2011)
Tan, X.Y., Triggs, B.: Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. IEEE Transactions on Image Processing 19(6), 1635–1650 (2010)
Castillo, C.D., Jacobs, D.W.: Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(12), 2298–2304 (2009)
Lee, H.-S., Kim, D.: Tensor-Based AAM with Continuous Variation Estimation: Application to Variation-Robust Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(6), 1102–1116 (2009)
González-Jiménez, D., Alba-Castro, J.L.: Toward Pose-Invariant 2-D Face Recognition Through Point Distribution Models and Facial Symmetry. IEEE Transactions on Information Forensics and Security 2(3), 413–429 (2007)
Singh, R., Vatsa, M., Ross, A., Noore, A.: A Mosaicing Scheme for Pose-Invariant Face Recognition. IEEE Transactions on Systems, Man and Cybernetics —Part B: Cybernetics 37(5), 1212–1225 (2007)
Chai, X., Shan, S., Chen, X., Gao, W.: Locally Linear Regression for Pose-Invariant Face Recognition. IEEE Transactions on Image Processing 16(7), 1716–1725 (2007)
Wright, J., Yang, A.Y., Arvind Ganesh, S., Sastry, S., Ma, Y.: Robust Face Recognition via Sparse Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(2), 210–227 (2009)
Pang, Y., Yuan, Y., Li, X.: Gabor-Based Region Covariance Matrices for Face Recognition. IEEE Transactions on Circuits and Systems For Video Technology 18(7), 989–993 (2008)
Xie, X., Lam, K.-M.: Face recognition using elastic local reconstruction based on a single face image. Pattern Recognition 41, 406–417 (2008)
Zhao, H., Yuen, P.C.: Incremental Linear Discriminant Analysis for Face Recognition. IEEE Transactions on Systems, Man and Cybernetics — Part B: Cybernetics 38(1), 210–221 (2008)
Dai, D.-Q., Yuen, P.C.: Face Recognition by Regularized Discriminant Analysis. IEEE Transactions on Systems, Man and Cybernetics — Part B: Cybernetics 37(4), 1080–1085 (2007)
Lu, J., Plataniotis, K.N., Venetsanopoulos, A.N.: Face Recognition Using Kernel Direct Discriminant Analysis Algorithms. IEEE Transactions on Neural Networks (August 2002) (accepted)
Lu, J., Plataniotis, K.N., Venetsanopoulos, A.N.: Face Recognition Using LDA Based Algorithms. IEEE Transactions on Neural Networks (May 2002) (accepted)
Ânez, A.M.M., Kak, A.C.: PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(2), 228–233 (2001)
He, X., Yan, S., Hu, Y., Niyogi, P., Zhang, H.-J.: Face Recognition Using Laplacian faces. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(3), 328–340 (2005)
Liu, C., Wechsler, H.: Evolutionary Pursuit and Its Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(6), 570–582 (2000)
Yang, J., Zhang, D., Frangi, A.F., Yang, J.-Y.: Two-Dimensional PCA: A New Approach to Appearance - Based Face Representation and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(1), 131–137 (2004)
Liu, C., Wechsler, H.: A Shape-and Texture-Based Enhanced Fisher Classifier for Face Recognition. IEEE Transactions on Image Processing 10(4), 598–608 (2001)
Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face Recognition: A Literature Survey. ACM Computing Surveys 35(4), 399–458 (2003)
Kwak, K.-C., Pedrycz, W.: Face Recognition Using Fuzzy Integral and Wavelet Decomposition Method. IEEE Transactions on Systems, Man, and Cybernetics — Part B: Cybernetics 34(4), 1666–1675 (2004)
Gross, R., Matthews, I., Baker, S.: Appearance-Based Face Recognition and Light-Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(4), 449–465 (2004)
Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face Recognition by Independent Component Analysis. IEEE Transactions on Neural Networks 13(6), 1450–1464 (2002)
McGuire, P., D’Eleuterio, G.M.T.: Eigen paxels and a Neural-Network Approach to Image Classification. IEEE Transactions on Neural Networks 12(3), 625–635 (2001)
Li, S.Z., Lu, J.: Face Recognition Using the Nearest Feature Line Method. IEEE Transactions on Neural Networks 10(2), 439–443 (1999)
Wiskott, L., Fellous, J.-M., Krüger, N., von der Malsburg, C.: Face Recognition by Elastic Bunch Graph Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 775–779 (1997)
Huang, D., Ardabilian, M., Wang, Y., Chen, L.: 3D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching. IEEE Transactions on Information Forensics and Security 7(5), 1551–1565 (2012)
İnan, T., Halici, U.: 3-D Face Recognition With Local Shape Descriptors. IEEE Transactions on Information Forensics and Security 7(2), 577–587 (2012)
Passalis, G., Perakis, P., Theoharis, T., Kakadiaris, I.A.: Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(10), 1938–1951 (2011)
Mian, A.S., Bennamoun, M., Owens, R.: An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(11), 1927–1943 (2007)
Zou, L., Cheng, S., Xiong, Z., Lu, M., Castleman, K.R.: 3-D Face Recognition Based on Warped Example Faces. IEEE Transactions on Information Forensics and Security 2(3), 513–528 (2007)
Chang, K., Bowyer, K.W., Sarkar, S., Victor, B.: Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1160–1163 (2003)
Blanz, V., Vetter, T.: Face Recognition Based on Fitting a 3D Morphable Model. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1063–1074 (2003)
Zhang, C., Cohen, F.S.: 3-D Face Structure Extraction and Recognition From Images Using 3-D Morphing and Distance Mapping. IEEE Transactions on Image Processing 11(11), 1249–1259 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Subban, R., Mankame, D.P. (2014). Human Face Recognition Biometric Techniques: Analysis and Review. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_47
Download citation
DOI: https://doi.org/10.1007/978-3-319-01778-5_47
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01777-8
Online ISBN: 978-3-319-01778-5
eBook Packages: EngineeringEngineering (R0)