Abstract
Face recognition is one of the focus studies in biometrics technology. The recognition accuracy always changes drastically in different environment, especially when it is affected by the illumination. Retinex is a method which utilizes illumination invariant, but it ignores contributions of low frequency component to face recognition. In this research paper, we propose a face recognition method based on retinex and wavelet transformmation. First, illumination invariant and variant are generated by the retinex theory. Second, decompose the illumination component via wavelet transformation and set its low-frequency coefficients to zero. In doing so, the processed illumination component is obtained by inversing the transformation. In the end, a new image is acquired by restructuring the two components. The recognition experiment will demonstrate that the proposed method ensures good performance in illumination environment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wei, C.C., Wang, X.P., Yan, J.W., et al.: Method for eliminating the Illumination Effects of Face Recognition (一种消除光照影响的人脸识别方法). Electronic Test 7, 19-23 (2012)
Lee, P.H., Wu, S.W., Hung, Y.P.: Illumination Compensation Using Oriented Local Histogram Equalization and Its Application to Face Recognition. IEEE Transaction on Image Processing 9, 4280–4289 (2012)
Georghiades, A.S., Belhumeur, P.N., Riegman, D.K.: From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Transaction on Pattern on Pattern Analysis and Machine Intelligent 6, 643–660 (2002)
Li, S.M., Liu, D.J., Sun, S.X., et al.: Research on Face Recognition Based on Illumination Subspace (基于光照子空间的人脸识别研究). Journal of Chengdu University of Technology (Science & Technology Edition) 5, 588–592 (2011)
Fan, C.N., Zhang, F.Y.: Illumination Invariant Extracting Algorithm Based on Nonsubsampled Contourlet Transform (基于非下采样Contourlet变换的光照不变量提取算法). Signal Processing 4, 507–513 (2012)
Land, E.H.: An Alternative Technique for Computation of the Designator in the Retinex Theory of Color Vision. Proceeding of National Academy of Science 10, 3078–3080 (1986)
Park, Y.K., Park, S.L., Kim, J.K.: Retinex Method Based on Adaptive Smoothing for Illumination Invariant Face Recognition. Signal Process 8, 1929–1945 (2008)
Jung, C., Sun, T., Jiao, L.C.: Eye Detection under Varying Illumination Using the Retinex Theory. Neurocomputing 113, 130–137 (2013)
Song, H.D., Lin, X.Z.: Eye Location Under Varying Illumination (变化光照条件下人眼定位方法). Journal of Beijing Institute of Graphic Communication 2, 62–67 (2014)
Xie, X.H., Zheng, W.S., Lai, J.H., et al.: Normalization of Face Illumination Based on Large- and Small-scale Features. IEEE Transaction on Image Processing 7, 1807–1821 (2011)
Sun, Y.K.: Wavelet Transform and Processing Technology of Image and Graph (小波变换与图像、图形处理技术). Tsinghua University Press, Beijing (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Song, H., Lin, X., Liu, Z. (2014). A Face Recognition under Varying Illumination. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Huang, K. (eds) Advances in Image and Graphics Technologies. IGTA 2014. Communications in Computer and Information Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45498-5_14
Download citation
DOI: https://doi.org/10.1007/978-3-662-45498-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45497-8
Online ISBN: 978-3-662-45498-5
eBook Packages: Computer ScienceComputer Science (R0)