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Articles

Two Feature-Level Fusion Methods with Feature Scaling and Hashing for Multimodal Biometrics

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REFERENCES

  • A. K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Trans. Circuits Systems Video Technol., Vol. 14, pp. 4–20, Jan. 2004.
  • A. K. Jain, A. Ross, and S. Pankanti, “Biometrics: A tool for information security,” IEEE Trans. Inform. Foren. Security, Vol. 1, pp. 125–43, Jun. 2006.
  • A. K. Jain, A. Ross, and K. Nandakumar, Introduction to Biometrics. New York: Springer, 2011.
  • A. Ross, and A. K. Jain, “Multimodal biometrics: An overview,” in Proceedings of the 12th European Signal Processing Conference, New York, Sep. 2004, pp. 1221–4.
  • A. Ross, K. Nandakumar, and A. K. Jain, Handbook of Multibiometrics. Boston: Kluwer Academic Publishers, 2006.
  • B. Bhanu, and V. Govindaraju, Multibiometrics for Human Identification, 1st ed. New York: Cambridge University Press, 2011.
  • S. K. Sahoo, T. Choubisa, and S. R. M. Prasanna, “Multimodal biometric person authentication: A review,” IETE Tech. Rev., Vol. 29, no. 1, pp. 54–75, 2012.
  • U. G. Mangai, S. Samanta, S. Das, and P. R. Chowdhury, “A survey of decision fusion and feature fusion strategies for pattern classification,” IETE Tech. Rev., Vol. 27, no. 4, pp. 293–307, 2010.
  • A. K. Jain, K. Nandakumar, and A. Ross, “Score normalization in multimodal biometric systems,” Pattern Recogn., Vol. 38, pp. 2270–85, Dec. 2005.
  • R. Battiti, “Using mutual information for selecting features in supervised neural net learning,” IEEE Trans. Neural Networks, Vol. 5, pp. 537–50, Jan. 1994.
  • L. C. Molina, L. Belanche, and A. Nebot, “Feature selection algorithms: A survey and experimental evaluation,” in Proceedings of IEEE International Conference on Data Mining, IEEE, 2002, pp. 306–13.
  • D. Guan, W. W. Yuan, Y. K. Lee, K. Najeebullah, and M. K. Rasel, “A review of ensemble learning based feature selection,” IETE Tech. Rev., Vol. 31, no. 3, pp. 190–8, 2014.
  • M. Dash, and H. Liu, “Feature selection for classification,” Intell. Data Anal., Vol. 1, pp. 131–56, Aug. 1997.
  • R. Kohavi, and G. H. John, “Wrappers for feature subset selection,” Artif. Intell., Vol. 97, pp. 273–324, Dec. 1997.
  • H. Peng, F. Long, and C. Ding, “Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, pp. 1226–38, Aug. 2005.
  • C. Liu, and H. Wechsler, “A shape- and texture-based enhanced fisher classifier for face recognition,” IEEE Trans. Image Process., Vol. 10, pp. 598–608, Jan. 2001.
  • A. Rattani, D. R. Kisku, M. Bicego, and M. Tistarelli, “Feature level fusion of face and fingerprint biometrics,” in 1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, Crystal City, VA: IEEE, Sep. 2007, pp. 1–6.
  • D. Agrawal, V. Karar, P. Kapur, and G. S. Singh, “Multispectral image fusion for enhancing situation awareness: A review,” IETE Tech. Rev., Vol. 31, no. 6, pp. 463–70, 2014.
  • J. Yang, J. Yang, D. Zhang, and J. Lu, “Feature fusion: Parallel strategy vs. serial strategy,” Pattern Recogn., Vol. 36, pp. 1369–81, Jun. 2003.
  • W. S. Chen, S. Y. Yuan, and C. M. Hsieh, “Two algorithms to estimate fractal dimension of gray-level images,” Optic. Eng., Vol. 42, pp. 2452–64, Aug. 2003.
  • S. Theodoridis, and K. Koutroumbas, Pattern Recognition, 4th ed. Burlington: Academic Press, 2009.
  • G. Mehmet, “Multiple kernel learning algorithms,” J. Mach. Learn. Res., Vol. 12, pp. 2211–68, 2011.
  • E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, “Distance metric learning, with application to clustering with side-information,” in Advances in Neural Information Processing Systems. Vol. 15. Vancouver, BC: MIT, 2003, pp. 505–12.
  • J. S. Beis and D. G. Lowe, “Shape indexing using approximate nearest-neighbour search in high-dimensional spaces,” in Conference on Computer Vision and Pattern Recognition, San Juan: IEEE Computer Society, 1997, pp. 1000–6.
  • A. Gionis, P. Indyk, and R. Motwani, “Similarity search in high dimensions via hashing,” in Proceedings of the 25th International Conference on Very Large Data Bases, Edinburgh, 1999, pp. 518–29.
  • J. Wang, S. Kumar, and S. Chang, “Semi-supervised hashing for large-scale search,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 34, pp. 2393–406, Dec. 2012.
  • Y. Gong, S. Lazebnik, A. Gordo, and F. Perronnin, “Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 35, pp. 2916–29, Dec. 2013.
  • M. Raginsky, and S. Lazebnik, “Locality-sensitive binary codes from shift-invariant kernels,” in Conference on Neural Information Processing Systems, Vancouver, BC, 2009, pp. 1509–19.
  • M. Kirby, and L. Sirovich, “Application of the Karhunen–Loeve procedure for the characterization of human faces,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 12, no. 1, pp. 103–8, 1990.
  • T. Ojala, M. Pietikainen, and D. Harwood, “Performance evaluation of texture measures with classification based on Kullback discrimination of distributions,” in Proceedings of 12th International Conference on Pattern Recognition, Vol. 1, IEEE Computer Society, Aug. 1994, pp. 582–5.
  • C. E. Thomaz and G. A. Giraldi, “A New Ranking Method for Principal Components Analysis and its Application to Face Image Analysis,” Image and Vis. Comput., Vol. 28, no. 6, pp. 902–13, Jun. 2010.
  • H. Proença, and L. A. Alexandre, “UBIRIS: A noisy iris image database,” in 13th International Conference on Image Analysis and Processing, Cagliari, Vol. 1, Sep. 2005, pp. 1–8.
  • Chinese Academy of Sciences, Specification of CASIA Iris Image Database (ver 4.0), 2010. Available: http://www.cbsr.ia.ac.cn/english/IrisDatabase.asp
  • W. Wang, W. Chen, and S. Shih, “Biometric recognition by fusing palmprint and hand-geometry based on morphology,” in International Conference on Acoustics, Speech, and Signal Processing, Taipei: IEEE, Apr. 2009, pp. 893–6.
  • D. J. Field, “Relations between the statistics of natural images and the response properties of cortical cells,” J. Optic. Soc. Am. A, Vol. 4, pp. 2379–94, Dec. 1987.
  • P. Yao, J. Li, X. Ye, Z. Zhuang, and B. Li, “Iris recognition algorithm using modified log-Gabor filters,” in 18th International Conference on Pattern Recognition, Hong Kong: IEEE, 2006, pp. 461–4.
  • K. P. Hollingsworth, K. W. Bowyer, and P. J. Flynn, “The best bits in an iris code,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 31, pp. 964–73, Jun. 2009.
  • N. S. Jayant, and P. Noll, Digital Coding of Waveforms: Principles and Applications to Speech and Video. Englewood Cliffs, NJ: Prentice-Hall, 1984.
  • T. Ojala, M. Pietikainen, and T. Maenpaa, “Multiresolution gray-scale and rotation invariant texture classification with local binary patterns,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 24, pp. 971–87, Jul. 2002.

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