[1] Lin, P.L., Y.H. Lai, and P.W. Huang, An effective classification and numbering system for dental bitewing radiographs using teeth region and contour information. Pattern Recognition, 2010. 43(4): p. 1380-1392.
[2] American Society ofF orensic Odontology,. Forensic Odontology News, Summer 1997. 16(2).
[3] Silva, R.F., et al., Panoramic radiograph as a clue for human identification: A forensic case report. Forensic Odontol 2017. 2: p. 85-87.
[4] Balachander, N., et al., Evolution of forensic odontology : An overview. J Pharm Bioallied Sci., 2015. 7: p. 176–180.
[5] Viner, M., Chapter 19 – Overview of Advances in Forensic Radiological Methods of Human Identification. New Perspectives in Forensic Human Skeletal Identification, 2018: p. 217–226.
[6] ح. بهناز و ا. شفق, آناتومی و مورفولوژی دندان. ۱۳۸۵.
[7] American Dental Association. Current Dental Terminology, thirded. (CDT-3), 1999.
[8] Sun, S., ZakriaHussain, and JohnShawe-Taylor, Manifold-preserving graph reduction for sparse semi-supervised learning. Neurocomputing, 2014. 124: p. 13–21.
[9] Zhou, J.D. and M. Abedl-Mottaleb, Automatic human identification based on dental X-ray images. Proceedings of the SPIE Conference on Defense and Security, Biometric Technology for Human Identification, 2004.
[10] Mahoor, M. and M. Abdel-Mottaleb, Classification and numbering of teeth in dental bitewing images. Pattern Recognition, 2005. 38: p. 577 – 586.
[11] Kiattisin, S., et al., , in, , A Match of X-ray Teeth Films Using Image Processing Based on Special Features of Teeth, in SICE IEEE: Japan. 2008.
[12] Lin, P.L., Y.H. Lai, and P.W. Huang, An effective classification and numbering system for dental bitewing radiographs using teeth region and contour information. Pattern Recognition, 2010. 43(4): p. 1380–1392.
[13]محمودی, ف. و ف. آیینی, یک چارچوب پیشنهادی برای تشخیص هویت بر اساس خط محیطی دندانها. مجله مهندسی پزشکی زیستی 1394. 9جلد 9، شماره 2،صفحه: 113-131.
[14] Mythili, O., Multi resolution dental image registration based on genetic algorithm. in Department of Electrical and Computer Engineering,WVU,USA, 2005.
[15] Zhou, J. and M. Abdel-Mottaleb, A content-based system for human identification based on bitewing dentalX-ray images. Pattern Recognition, 2005. 38: p. 2132 – 2142.
[16] Nomir, O. and M. Abdel-Mottaleb, A system for human identification from X-ray dental radiographs. Pattern Recognition, 2005. 38: p. 1295 – 1305.
[17] Abdel-Mottaleb, M., et al., , Challenges of developing an automated dental identification system, in IEEE Mid-West Symposium for Circuits and Systems2003: Cairo, Egypt.
[18] Nomir, O. and M. Abdel-Mottaleb, Hierarchical contour matching for dental X-ray radiographs. Pattern Recognition. 2008. 41: p. 130 – 138.
[19] Zhang, Z., et al., Efficient 3D dental identification via signed feature histogram and learning keypoint detection. Pattern Recognition, 2016. 60: p. 189–204.
[20] Raith, S., et al., Artificial Neural Networks as a powerful numerical tool to classify specific features of a tooth based on 3D scan data. Computers in Biology and Medicine, 2017. 80: p. 65–76.
[21]آیینی, ف. و ف. محمودی, دستهبندی دندان براساس اطلاعات کانتور و عرض مزیودیستال طوق و تاج در تصاویر رادیوگراقی دندان, پانزدهمین کنفرانس انجمن کامپیوتر ایران. 1388.
[22]ع. خاقانی، کالبدشناسی آناتومی سر وگردن. 1371, فجر اسلام: خاقانی علی.
[23] Nomir, O. and M. Abdel-Mottaleb, A system for human identification from X-ray dental radiographs. Pattern Recognition, 2005. 38: p. 1295 – 1305.
[24] Aeini, F. and F. Mahmoudi, Classification and Numbering of Posterior Teeth in Bitewing Dental Images, in ICACTE. . 2010, IEEE: China.
[25]آئینی, ف. و ف. محمودی, تشخیص هویت انسان براساس ویژگیهای دندان مبتنی بر تبدیل فوریه و کاهش فضای جستجو, هفتمین کنفرانس بین المللی انجمن رمز ایران 1389: دانشگاه خواجه نصیرالدین طوسی، صفحه 41-49.
[26] Mahoor, M. and MohamedAbdel-Mottaleb, Classification and numbering of teeth indental bitewing images. Pattern Recognition, 2005. 38: p. 577 – 586.
[27] Tangel, M.L., et al., Dental Numbering for Periapical Radiograph Based on Multiple Fuzzy Attribute Approach. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2014. 18(3): p. 253-261.
[28] Pushparaj, V., U. Gurunathan, and B. Arumugam, Victim identification with dental images using texture and morphological operations. Electronic Imaging,, 2014. 23(1).
[29] Arifin, A.Z., et al., Decimation-Free Directional Filter Banks for Classification and Numbering on Posterior Dental Radiography Using Mesiodistal Neck Detection. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2014. 18(649).
[30] Kiattisin, S., et al., A Match of X-ray Teeth Films Using Image Processing Based on Special Features of Teeth. SICE Annual Conference, 2008.
[31] B.C. Gowda, e.a., Histological appearance of postmortem pink teeth: Report of two cases. Journal of forensic dental sciences, 2015. 7(2): p. 168.
[32] P.L. Lin, e.a., Teeth segmentation of dental periapical radiographs based on local singularity analysis. Computer methods and programs in biomedicine, 2014. 113(2): p. 433-445.