Abstract
The paper presents new geometrical methods of feature extraction from ear images in order to perform human identification. Geometrical approach is motivated by the actual procedures used by police and forensic experts. In the article novel algorithms of ear feature extraction from contour images are described in detail. Moreover, identification results obtained for each of the methods, based on the distance of feature vectors in the feature space, are presented.
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Choraś, M. (2006). Further Developments in Geometrical Algorithms for Ear Biometrics. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2006. Lecture Notes in Computer Science, vol 4069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11789239_7
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DOI: https://doi.org/10.1007/11789239_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36031-5
Online ISBN: 978-3-540-36032-2
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