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The Scientific World Journal
Volume 2014 (2014), Article ID 702076, 12 pages
Research Article

Ear Recognition Based on Gabor Features and KFDA

1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China
2Visualization and Intelligent Systems Laboratory, University of California Riverside, Riverside, CA, 92507, USA

Received 7 November 2013; Accepted 21 January 2014; Published 17 March 2014

Academic Editors: H. T. Chang and M. Nappi

Copyright © 2014 Li Yuan and Zhichun Mu. 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.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Amir Benzaoui, Abdenour Hadid, and Abdelhani Boukrouche, “Ear biometric recognition using local texture descriptors,” Journal Of Electronic Imaging, vol. 23, no. 5, 2014. View at Publisher · View at Google Scholar
  • Yuanjian Fu, Yingwei Zhang, and Lin Feng, “Fault diagnosis model of batch process based on improved KFDA,” IFAC-PapersOnLine, vol. 50, no. 1, pp. 14758–14763, 2017. View at Publisher · View at Google Scholar
  • Yi Zhang, and Zhichun Mu, “Ear Detection under Uncontrolled Conditions with Multiple Scale Faster Region-Based Convolutional Neural Networks,” Symmetry, vol. 9, no. 4, pp. 53, 2017. View at Publisher · View at Google Scholar