Abstract
The problem of illumination makes the face recognition still an unsolved problem. A new normalization method was presented which is illumination invariant in face recognition. The histogram equalization was applied to improve the performances of the AT (Affine Transform) algorithm. A novel illumination normalization method was introduced. Using the information of the distribution of the histogram, the method makes the combination of the AT algorithm and the ICR (Illumination Compensation based on Multiple Regression Model) algorithm smoothly. Experiments reveals that our proposed algorithm is illumination invariant and achieves better preprocess result while the recognition rate has been evidently improved.
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References
Belhumeur, P.N., Kriegman, D.J.: What is the set of images of an object under all possible illumination conditions? IJCV 28(3), 245–260 (1998)
Wang, H., Li, S.Z., Wang, Y.: Illumination Modeling and Normalization for Face Recognition. In: Proceeding of AMFG (2003)
Gonzalez, R.C.: Digital Image Processing. Publishing house of electronics industry (2003)
Shan, S., Gao, W., Cao, B.: Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions. In: Proceeding of AMFG (2003)
Zhou, S., Chellappa, R.: Rank Constrained Recognition under Unknown Illuminations. In: Proceeding of AMFG (2003)
Zhao, J., Su, Y., Wang, D.: Illumination ratio image: synthesizing and recognition with varying illuminations. Pattern Recognition Letter 24, 2703–2710 (2003)
Jonathon Philips, P., Vardi, Y.: Efficient illumination normalization of facial images. Pattern Recognition Letter 17, 921–927 (1996)
Wang, H., Wei, H., Wang, Y.: Face Representation under Different Illumination Conditions. In: Proceeding of ICME (2003)
Zhu, J., Liu, B., Schwartz, S.C.: General illumination correction and its application to face normalization. In: Proceeding of AMFG (2003)
Ko, J., Kim, E., Byun, H.: A simple illumination algorithm for face recognition. In: Ishizuka, M., Sattar, A. (eds.) PRICAI 2002. LNCS (LNAI), vol. 2417, p. 532. Springer, Heidelberg (2002)
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© 2005 Springer-Verlag Berlin Heidelberg
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Guo, Y., Zhang, X., Zhan, H., Song, J. (2005). A Novel Illumination Normalization Method for Face Recognition. In: Li, S.Z., Sun, Z., Tan, T., Pankanti, S., Chollet, G., Zhang, D. (eds) Advances in Biometric Person Authentication. IWBRS 2005. Lecture Notes in Computer Science, vol 3781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569947_4
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DOI: https://doi.org/10.1007/11569947_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29431-3
Online ISBN: 978-3-540-32248-1
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