13 October 2008 Multi-pose ear recognition using locally linear embedding and nearest feature line
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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.
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Zhaoxia Xie, Zhichun Mu, Dehui Sun, Dunli Hu, "Multi-pose ear recognition using locally linear embedding and nearest feature line", 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; https://doi.org/10.1117/12.806729
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