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Linear discriminant multi-set canonical correlations analysis (LDMCCA): an efficient approach for feature fusion of finger biometrics.

J. Peng, Q. Li, A. El-Latif, and X. Niu. Multimedia Tools Appl., 74 (13): 4469-4486 (2015)

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A Normal-Traffic Network Covert Channel.L. Ji, H. Liang, Y. Song, and X. Niu. CIS (1), page 499-503. IEEE Computer Society, (2009)Reversible Data-Hiding Scheme for 2-D Vector Maps Based on Difference Expansion.X. Wang, C. Shao, X. Xu, and X. Niu. IEEE Trans. Information Forensics and Security, 2 (3-1): 311-320 (2007)A novel hashing scheme for Depth-image-based-rendering 3D images.C. Cui, H. Mao, X. Niu, L. Zhang, T. Hayat, and A. Alsaedi. Neurocomputing, (2016)A passive technique for detecting copy-move forgery with rotation based on polar complex exponential transform.M. Emam, Q. Han, L. Yu, Y. Zhang, and X. Niu. ICDIP, volume 9631 of SPIE Proceedings, page 963104. SPIE, (2015)Quantum realization of the nearest-neighbor interpolation method for FRQI and NEQR.J. Sang, S. Wang, and X. Niu. Quantum Information Processing, 15 (1): 37-64 (2016)Template Protection for Multimodal Biometric System.Z. Wang, Q. Han, X. Niu, and C. Busch. IIH-MSP, page 1101-1104. IEEE Computer Society, (2009)A Method to Generate Random Number for Cryptographic Application.X. Niu, Y. Wang, and D. Wu. IIH-MSP, page 235-238. IEEE, (2014)Playfield Detection Using Color Ratio and Local Entropy.X. Bai, T. Zhang, X. Song, and X. Niu. IIH-MSP, page 356-359. IEEE Computer Society, (2011)A New Face Recognition Scheme with Renewable Templates.W. Huang, X. Yu, Q. Li, and X. Niu. IIH-MSP, page 1426-1429. IEEE Computer Society, (2008)Research on the Capacity of Error-Correcting Codes-Based Information Hiding.X. Yan, S. Guan, and X. Niu. IIH-MSP, page 1158-1161. IEEE Computer Society, (2008)

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Linear discriminant multi-set canonical correlations analysis (LDMCCA): an efficient approach for feature fusion of finger biometrics.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Linear discriminant multi-set canonical correlations analysis (LDMCCA): an efficient approach for feature fusion of finger biometrics.

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Linear discriminant multi-set canonical correlations analysis (LDMCCA): an efficient approach for feature fusion of finger biometrics.