Existing ear recognition approaches do not provide any theoretical or experimental performance prediction. Therefore, the discriminating power of ear biometrics for human identification cannot be evaluated. In this chapter, a binomial model is presented to predict the ear recognition performance. Match and non-match distances obtained from matching 3D ears are used to estimate their distributions. By modeling cumulative match characteristic (CMC) curve as a binomial distribution, the ear recognition performance can be predicted on a larger gallery.
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© 2008 Springer-Verlag London Limited
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(2008). Performance Prediction of a 3D Ear Recognition System. In: Human Ear Recognition by Computer. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84800-129-9_7
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DOI: https://doi.org/10.1007/978-1-84800-129-9_7
Publisher Name: Springer, London
Print ISBN: 978-1-84800-128-2
Online ISBN: 978-1-84800-129-9
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