Abstract
In this paper, we present a complete ear recognition system. A new edge-based approach is proposed to extract the pure ear automatically, using both the edge information form the intensity images and depth images. Once the pure ear is extracted, the well-known ICP algorithm is applied for recognition. We achieve a Rank-1 recognition rate of 98.8% for an identification scenario and an equal error rate of 2.1% for a verification scenario on a database of 415 subjects.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wu, J., Mu, Z., Wang, K. (2012). 3D Pure Ear Extraction and Recognition. In: Zheng, WS., Sun, Z., Wang, Y., Chen, X., Yuen, P.C., Lai, J. (eds) Biometric Recognition. CCBR 2012. Lecture Notes in Computer Science, vol 7701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35136-5_27
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DOI: https://doi.org/10.1007/978-3-642-35136-5_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35135-8
Online ISBN: 978-3-642-35136-5
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