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  1. S. Sun, L. Zhao, and S. Yang, “Gabor Weber local descriptor for bovine iris recognition,” Mathematical Problems in Engineering, vol. 2013, Article ID 920597, 7 pages, 2013.
Mathematical Problems in Engineering
Volume 2013, Article ID 920597, 7 pages
Research Article

Gabor Weber Local Descriptor for Bovine Iris Recognition

Institute of Systems Engineering, Southeast University, Sipailou 2, Nanjing 211189, China

Received 27 February 2013; Revised 12 April 2013; Accepted 29 April 2013

Academic Editor: Rongni Yang

Copyright © 2013 Shengnan Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Iris recognition is a robust biometric technology. This paper proposes a novel local descriptor for bovine iris recognition, named Gabor Weber local descriptor (GWLD). We first compute the Gabor magnitude maps for the input bovine iris image, and then calculate the differential excitation and orientation for each pixel over each Gabor magnitude map. After that, we use these differential excitations and orientations to construct the GWLD histogram representation. Finally, histogram intersection is adopted to measure the similarity between different GWLD histograms. The experimental results on the SEU bovine iris database verify the representation power of our proposed local descriptor.