Abstract
The human ear is a new feature in biometrics that has several merits over the more common face, fingerprint and iris. It can be easily captured from a distance without a fully cooperative subject. Also, the ear has a relatively stable structure that does not change much with the age and facial expressions. In this paper, we present a novel method of 3D ear acquisition system by using triangulation imaging principle, and the experiment results show that this design is efficient and can be used for ear recognition.
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Liu, Y., Lu, G. (2013). A 3D Ear Acquisition System Design by Using Triangulation Imaging Principle. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_42
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DOI: https://doi.org/10.1007/978-3-642-39094-4_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39093-7
Online ISBN: 978-3-642-39094-4
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