Face Recognition using a Newly Developed Linear Subspace Learning Method
Mahri, N., S.A.S. Suandi, and B.A. Rosdi, "Finger Vein Recognition Algorithm Using Phase Only Correlation". Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB), 2010 International Workshop on., pp. 1-6, 2010.
Wayman, J.L., "Biometric Verification/Identification/Authentication/Recognition", The Terminology. Encyclopedia of Biometrics, pp. 263-268, 2015.
Eui Chul Lee, H.J., Daeyeoul Kim, "New Finger Biometric Method Using Near Infrared Imaging". Sensors, vol. 11, no. 3, pp. 2319-2333, 2011.
Hadjikhani, N., et al., "Improving emotional face perception in autism with diuretic bumetanide: a proof-of-concept behavioral and functional brain imaging pilot study". Autism, vol. 19, no. 2, pp. 149-157, 2015.
Bhattacharyya, D., "Biometric Authentication: A Review". Science and Technology, vol. 2, pp. 13-28, 2015.
Rinaldi, A., "Biometrics' new identity—measuring more physical and biological traits". EMBO reports, vol. 17, no. 1, pp. 22-26, 2016.
Schouten, B. and B. Jacobs, "Biometrics and their use in e-passports". Image and Vision Computing, vol. 27, no. 3, pp. 305-312, 2015.
Damavandinejadmonfared, S., et al., "Finger vein recognition using PCA-based methods". World Academy of Science, Engineering and Technology, vol. 66, pp. 2012, 2012.
Bowyer, K.W., BIOMETRICS RESEARCH. 2016.
Ko, K.W., et al., "Development of Human Identification System Based on Simple Finger-Vein Pattern-Matching Method for Embedded Environments". International Journal of Security and Its Applications, vol. 9, no. 5, pp. 297-306, 2015.
Mohod, P.S. and K.C. Jondhale, "Face Recognition Using PCA". International Journal of Artificial Intelligence and Knowledge Discovery, vol. 1, no. 1, pp. 25-28, 2011.
Kim, W., S. Suh, and J.-J. Han, "Face Liveness Detection from a Single Image via Diffusion Speed Model". Image Processing, IEEE Transactions on, vol. 24, no. 8, pp. 2456-2465, 2015.
Singh, N.A., M.B. Kumar, and M.C. Bala, "Face Recognition System based on SURF and LDA Technique". 2016.
Bishop, C.M., Pattern Recognition. Machine Learning, 2006.
Bro, R. and A.K. Smilde, "Principal component analysis". Analytical Methods, vol. 6, no. 9, pp. 2812-2831, 2014.
Gou, J., et al., "A Local Mean-Based k-Nearest Centroid Neighbor Classifier". The Computer Journal, pp. 1-14, 2012.
Hechenbichler, K., "Weighted k-Nearest-Neighbor Techniques and Ordinal Classification". 2004.
Huang, S.-Y., Y.-R. Yeh, and S. Eguchi, "Robust Kernel Principal Component Analysis". Neural Computation, vol. 21, no. 11, pp. 3179-3213, 2009.
Mobarakeh, A., et al. "Applying Weighted K-nearest centroid neighbor as classifier to improve the finger vein recognition performance". in Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on, 2012.
Delac, K., M. Grgic, and S. Grgic, "Independent comparative study of PCA, ICA, and LDA on the FERET data set". International Journal of Imaging Systems and Technology, vol. 15, no. 5, pp. 252-260, 2005.
Fix , E. and J.L.Hodges, "Discriminatory Analysis, Nonparametric Discrimination". Vol. 57, pp. 238-247, 1951.
Agrawal, S. and P. Khatri. "Facial expression detection techniques: based on Viola and Jones algorithm and principal component analysis". in Advanced Computing & Communication Technologies(ACCT), 2015 Fifth International Conference on, 2015.
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