Abstract
This chapter describes the necessary background of biometric modalities and the person identification system on which it is based. The various performance evaluation parameters of the biometric-based system are given in the chapter, and the necessary information concerning dental modalities is covered.
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Bibliography
Biometrics and Standards (2009). ITU-T Technology Watch Report. http://www.itu.int/dms_pub/itu-t/oth/23/01/T230100000D0002MSWE.doc.
Jain, A., & Kumar, A. (2012). Biometric recognition: An overview. In E. Mordini & D. Tzovaras (Eds.), Second generation biometrics: The ethical, legal and social context (pp. 49–79). Dordrecht: Springer.
Hofer, M. (2007). Dental biometrics: Human identification based on dental work information. Brazil: School of Medical Information Technology.
Mal, K., & Bhattacharya, S. (2013). Comparative study of different biometric features. Int J Adv Res Comput Commun Eng, 2(7), 2776–2784.
Jain, A., & Chen, H. (2004). Matching of dental X-ray images for human identification. Pattern Recognition, 37, 1519–1532.
Chen, H., & Jain, A. (2005). Dental biometrics: Alignment and matching of dental radiographs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), 1319–1326.
Zhou, J., & Abdel-Mottaleb, M. (2005). A content-based system for human identification based on Bitewing Dental X-ray images. Pattern Recognition, 38, 2132–2142.
Shah, S., Abaza, A., Ross, A., & Ammar, H. (2006). Automatic tooth segmentation using active contour without edges. In The biometric consortium conference, 2006 biometrics symposium: special session on research at the (pp. 1–6). IEEE.
Nassar, D. E. M., & Ammar, H. (2006). A neural network system for matching dental radiographs. Pattern Recognition, 40(2007), 65–79.
Nazmy, T., Nabil, F., Salam, D., & Samy, H. (2005). Dental radiographs matching using morphological and PCNN approach. In The international congress for global science and technology (p. 39). Special Issue of International Journal on Graphics, Vision and Image Processing (GVIP). Cairo.
Pushparaj, V., Gurunathan, U., & Arumugam, B. (2012). Human forensic identification with dental radiographs using similarity and distance metrics. In India Conference (INDICON), 2012 Annual IEEE (pp. 329–334). IEEE.
Nomir, O., & Abdel-Mottaleb, M. (2005). A system for human identification X-ray dental radiographs. Pattern Recognition, 38, 1295–1305.
Nomir, O., & Abdel-Mottaleb, M. (2008). Hierarchical contour matching for dental X-ray radiographs. Pattern Recognition, 41, 130–138.
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Trivedi, D.N., Shah, N.D., Kothari, A.M., Thanki, R.M. (2019). Introduction. In: Dental Image Processing for Human Identification. Springer, Cham. https://doi.org/10.1007/978-3-319-99471-0_1
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DOI: https://doi.org/10.1007/978-3-319-99471-0_1
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