Abstract
Ear recognition has become a rapidly growing research area in recent years. This paper gives an up-to-date review of research works in ear recognition based on 3D data and 2D ear images. For ear recognition in 3D, recent works on 3D feature extraction and model matching are presented and discussed. For 3D ear recognition based on 2D images, 3D ear model reconstruction is mainly discussed. For ear recognition in 2D, main research works on ear detection, ear feature extraction and classification are presented and discussed. Some possible future research interests are proposed in the end.
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Yuan, L., Mu, ZC., Yang, F. (2011). A Review of Recent Advances in Ear Recognition. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_32
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DOI: https://doi.org/10.1007/978-3-642-25449-9_32
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