Gabor Weber Local Descriptor for Bovine Iris Recognition
Joint Authors
Sun, Shengnan
Zhao, Lindu
Yang, Shicai
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Sun, Shengnan& Zhao, Lindu& Yang, Shicai. 2013. Gabor Weber Local Descriptor for Bovine Iris Recognition. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1011155
Modern Language Association (MLA)
Sun, Shengnan…[et al.]. Gabor Weber Local Descriptor for Bovine Iris Recognition. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1011155
American Medical Association (AMA)
Sun, Shengnan& Zhao, Lindu& Yang, Shicai. Gabor Weber Local Descriptor for Bovine Iris Recognition. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1011155
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011155