Abstract
Application and research of ear recognition technology is a new subject in the field of biometric recognition. The earlier research has shown that human ear is one of the representative human biometrics with uniqueness and stability. The paper discusses the edge-based ear recognition method including ear edge detection, ear description and feature extraction, recognition method and ear database construction. The feature vector is composed of the shape feature vector of the outer ear and the structural feature vector of the inner ear. The local feature vectors are proved to be invariant to ear image’s parallel move, scale and rotation.
This work is supported by the National Natural Science Foundation of China under the Grant No. 60375002.
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© 2004 Springer-Verlag Berlin Heidelberg
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Mu, Z., Yuan, L., Xu, Z., Xi, D., Qi, S. (2004). Shape and Structural Feature Based Ear Recognition. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_76
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DOI: https://doi.org/10.1007/978-3-540-30548-4_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
Online ISBN: 978-3-540-30548-4
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