Abstract
Bimodal biometrics based on a two-stage test sample representation method for use with face recognition is presented in this paper. Until now a large amount of research has been proved that multi-biometrics can outperform single biometrics. The proposed method first let the test sample be linearly constructed from all the training samples each with a complex vector. By this step we find k ‘nearest neighbors’ for the test sample. Then we re-expressed the test sample as a linear combination of the k samples obtained above and classify the test sample into the class that makes the greatest contribution. The experimental results on CSIST and AR face image database demonstrate the efficiency and effectiveness of our method.
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References
Yang, J., Yang, J.-Y., Frangi, A.F.: Combined Fisherfaces framework. Image Vision Computer 21(12), 1037–1044 (2003)
Xu, Y., Zhang, D., Yang, J., Yang, J.-Y.: A two-phase test sample sparse representation method for use with face recognition. 2011 IEEE Transactions on Circuits and Systems for Video Technology 21(9), 1255–1262 (2011)
Xu, Y., Zhong, A., Yang, J., Zhang, D.: Bimodal biometrics based on a representation and recognition approach. Optical Engineering 50(3), 037202-1–037202-7 (2011)
Xu, Y., Zhang, D., Yang, J.-Y.: A feature extraction method for use with bimodal biometrics. Pattern Recognition 43(3), 1106–1115 (2010)
Shi, Q., Eriksson, A., van den Hengel, A., Shen, C.: Is Face Recognition really a Compressive Sensing problem? In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 553–560 (2011)
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© 2012 Springer-Verlag Berlin Heidelberg
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Hou, Y., Chen, C. (2012). Bimodal Biometrics Based on a Two-Stage Test Sample Representation. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_88
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DOI: https://doi.org/10.1007/978-3-642-33478-8_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33477-1
Online ISBN: 978-3-642-33478-8
eBook Packages: Computer ScienceComputer Science (R0)