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Proceedings Paper

Multi-pose ear recognition using locally linear embedding and nearest feature line
Author(s): Zhaoxia Xie; Zhichun Mu; Dehui Sun; Dunli Hu
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Paper Abstract

Multi-pose ear recognition is a challenging problem of ear recognition technology. In this paper, the method based on locally linear embedding (LLE) and nearest feature line (NFL) is proposed by analyzing the disadvantages of most 2D ear recognition methods currently when dealing with poses variation and the shortcomings of the nearest neighbor (NN) classifier. The LLE algorithm is used to extract the ear feature, and then the NFL classifier is applied to classify ear images under varying poses. By contrast, experimental results show that the method based on LLE and NFL can obviously improve the recognition performance, which demonstrates the validity of this method.

Paper Details

Date Published: 13 October 2008
PDF: 7 pages
Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 71272A (13 October 2008); doi: 10.1117/12.806729
Show Author Affiliations
Zhaoxia Xie, Univ. of Science and Technology Beijing (China)
Zhichun Mu, Univ. of Science and Technology Beijing (China)
Dehui Sun, North China Univ. of Technology (China)
Dunli Hu, North China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7127:
Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence

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