Abstract
In this paper, we present a new biometric identification system based on dental features. First, we collected the plaster figures of teeth which were done at dental hospital, department of oral medicine. Second, we developed a representation of dental images based on principal component analysis(PCA) representation included the 100 principle components as the features for individual identification. The PCA basis vectors had reflected well the features for individual identification from the parts of teeth. Finally, the classification for individual identification based on the nearest neighbor(NN) algorithm from the part of teeth was created. The identification performance is 98% for the part of teeth excluded the right-molar and back teeth, 95% for the part of teeth excluded the front teeth and 80% for the part of teeth excluded the left-molar and back-teeth.
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Shin, YS. (2005). Biometric Identification System Based on Dental Features. In: Li, S.Z., Sun, Z., Tan, T., Pankanti, S., Chollet, G., Zhang, D. (eds) Advances in Biometric Person Authentication. IWBRS 2005. Lecture Notes in Computer Science, vol 3781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569947_29
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DOI: https://doi.org/10.1007/11569947_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29431-3
Online ISBN: 978-3-540-32248-1
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