Regular Articles

Log-Gabor Weber descriptor for face recognition

[+] Author Affiliations
Jing Li, Nong Sang, Changxin Gao

Huazhong University of Science and Technology, School of Automation, 1037 Luoyu Road, Wuhan 430074, China

National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, 1037 Luoyu Road, Wuhan 430074, China

J. Electron. Imaging. 24(5), 053014 (Sep 21, 2015). doi:10.1117/1.JEI.24.5.053014
History: Received May 18, 2015; Accepted August 17, 2015
Text Size: A A A

Abstract.  The Log-Gabor transform, which is suitable for analyzing gradually changing data such as in iris and face images, has been widely used in image processing, pattern recognition, and computer vision. In most cases, only the magnitude or phase information of the Log-Gabor transform is considered. However, the complementary effect taken by combining magnitude and phase information simultaneously for an image-feature extraction problem has not been systematically explored in the existing works. We propose a local image descriptor for face recognition, called Log-Gabor Weber descriptor (LGWD). The novelty of our LGWD is twofold: (1) to fully utilize the information from the magnitude or phase feature of multiscale and orientation Log-Gabor transform, we apply the Weber local binary pattern operator to each transform response. (2) The encoded Log-Gabor magnitude and phase information are fused at the feature level by utilizing kernel canonical correlation analysis strategy, considering that feature level information fusion is effective when the modalities are correlated. Experimental results on the AR, Extended Yale B, and UMIST face databases, compared with those available from recent experiments reported in the literature, show that our descriptor yields a better performance than state-of-the art methods.

Figures in this Article
© 2015 SPIE and IS&T

Citation

Jing Li ; Nong Sang and Changxin Gao
"Log-Gabor Weber descriptor for face recognition", J. Electron. Imaging. 24(5), 053014 (Sep 21, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.5.053014


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.