Abstract
Human Identification from Dental X-Ray Images is a new Biometric Identification technology based on the use of modern digital image processing technology. Tooth positioning is the initial step in the individual identification system using dental X-ray image, and its main purpose is to find the accurate position of tooth in the high-resolution X-ray images, which can reduce data redundancy and provide support for the establishment of the dental images database and subsequent processing. Automated positioning and cropping of dental X-ray records is a challenging problem due to the heterogeneity of dental records. This paper proposed an algorithm to process the dental X-ray images using wavelet transform and edge detection techniques, respectively in horizontal and vertical directions to find the position of tooth area. Simulation results proved the accuracy and effectiveness of the method.
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References
Yan, L., Zhang, H.: Individual identification of teeth and its application in forensic science. Journal of Chinese People’s Public Security University: Natural Science Edition 12(003), 28–32 (2006)
Brannon, R.B., Morlang, W.M., Smith, B.C.: The gander disaster: dental identification in a military tragedy. Journal of Forensic Sciences 48(6), 1331–1335 (2003)
Jain, A.K., Chen, H.: Matching of dental X-ray images for human identification. Pattern Recognition 37(7), 1519–1532 (2004)
Nassar, D.E., et al.: Automatic construction of dental charts for postmortem identification. IEEE Transactions on Information Forensics and Security 3(2), 234–246 (2008)
Nomir, O., Abdel-Mottaleb, M.: Hierarchical contour matching for dental X-ray radiographs. Pattern Recognition 41(1), 130–138 (2008)
Nomir, O., Abdel-Mottaleb, M.: A system for human identification from X-ray dental radiographs. Pattern Recognition 38(8), 1295–1305 (2005)
Tan, Y., Tian, X., et al.: Research progress of identification using dental Imaging. Criminal Technology (001), 13–15 (2010)
Gao, D., Wang, Q., Ye, J., et al.: Full mouth dental surface layer of forensic identification of indicators. Journal of Forensic Medicine 24(002), 114–117 (2008)
Xu, B., Feng, H., Zhao, W., et al.: According to digital panoramic radio-graph tomographs individual identification studies. Journal of Forensic Medicine 25(005), 327–330 (2010)
Gao, D., Wang, H., Hu, J., et al.: Maxillofacial digital x-ray forensic identification. Journal of Forensic Medicine 22(1), 32–35 (2006)
Grossmann, A., Morlet, J.: Decomposition of Hardy functions into square integrable wavelets of constant shape. SIAM Journal on Mathematical Analysis 15(4), 723–736 (1984)
Yang, F.: Engineering analysis and application of wavelet transform. Science press (1999)
Daubechies, I.: Orthonormal bases of compactly supported wavelets. Communications on Pure and Applied Mathematics 41(7), 909–996 (1988)
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Zhou, Z., Sun, G., Yang, T. (2014). Research on Teeth Positioning Based on Wavelet Transform and Edge Detection. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Huang, K. (eds) Advances in Image and Graphics Technologies. IGTA 2014. Communications in Computer and Information Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45498-5_32
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DOI: https://doi.org/10.1007/978-3-662-45498-5_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45497-8
Online ISBN: 978-3-662-45498-5
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