Skip to main content

Dental Image Matching: A Technical Survey and Potential Challenges

  • Chapter
  • First Online:
Dental Image Processing for Human Identification
  • 391 Accesses

Abstract

This chapter presents a technical survey on dental image matching. It likewise covers challenges in human identification system and the possible solutions for these challenges.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

  1. Jain, A., & Chen, H. (2004). Matching of dental X-ray images for human identification. Pattern Recognition, 37, 1519–1532.

    Article  Google Scholar 

  2. 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.

    Article  Google Scholar 

  3. Ammar, H. H., Abdel-Mottaleb, M., & Jain, A. (2004). Towards an automated dental identification system (ADIS). In Biometric authentication (pp. 789–796). Berlin, Heidelberg: Springer.

    Google Scholar 

  4. Nassar, D. E. M., & Ammar, H. H. (2006). A neural network system for matching dental radiographs. Pattern Recognition, 40, 65–79.

    Article  Google Scholar 

  5. Nomir, O., & Abdel-Mottaleb, M. (2008). Hierarchical contour matching for dental X-ray radiographs. Pattern Recognition, 41, 130–138.

    Article  Google Scholar 

  6. Lira, P. H., Giraldi, G. A., & Neves, L. A. (2009). Panoramic dental X-ray image segmentation and feature extraction. In Proceedings of V workshop of Computing Vision. Brazil: Sao Paulo.

    Google Scholar 

  7. Lin, P. L., & Lai, Y. H. (2009). An effective classification system for dental bitewing radiographs using entire tooth. WRI Global Congress Intell Syst, 4, 369–373.

    Article  Google Scholar 

  8. Bhagat, A. P., & Atique, M. (2010). Medical images: Formats, compression techniques and DICOM image retrieval a survey. In Devices, circuits and systems (ICDCS), 2012 International Conference on (pp. 172–176). IEEE.

    Google Scholar 

  9. Sahu, B. K., & Verma, R. (2011). DICOM search in medical image archive solution e-Sushrut Chhavi. In Electronics computer technology (ICECT), 2011 3rd international conference on (Vol. 6, pp. 256–260). IEEE.

    Google Scholar 

  10. 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.

    Google Scholar 

  11. Ajaz, A. and Kathirvelu (2013). Dental biometrics: computer-aided human identification system using the dental panoramic radiographs. In Communications and signal processing (ICCSP), 2013 international conference on (pp. 717–721). IEEE.

    Google Scholar 

  12. Jaffino, G., Banumathi, A., Gurunathan, U., & Jose, J. P. (2014). Dental work extraction for different radiographic images in human forensic identification. In Communication and network technologies (ICCNT), 2014 international conference on (pp. 52–56). IEEE.

    Google Scholar 

  13. Wong, Y. S., Zhong, X., Lu, W. F., Foong, K. W. C., & Cheng, H. L. (2015). An approach for single-tooth classification and identification. In Industrial electronics and applications (ICIEA), 2015 IEEE 10 th conference on (pp. 1698–1702). IEEE.

    Google Scholar 

  14. Marin, I. Pavaloiu, I., Goga, N., Vasilateanu, A. and Dragoi, G. (2015). Automatic contour detection from dental CBCT DICOM data. In E-health and bioengineering conference (EHB), 2015 (pp. 1–4). IEEE.

    Google Scholar 

  15. Rajput, P. V., & Mahajan, K. J. (2016). Review on dental biometric in human forensic identification. Int Res J Eng Technol, 3(4), 1685–1688.

    Google Scholar 

  16. Al-Saleh, M. A., Alsufyani, N. A., Saltaji, H., Jaremko, J. L., & Major, P. W. (2016). MRI and CBCT image registration of temporomandibular joint: A systematic review. J Otolaryngol Head Neck Surg, 45(1), 30.

    Google Scholar 

  17. Praveenkumar, P., Priya, P. C., Thenmozhi, K., Rayappan, J. B. B., & Amirtharajan, R. (2016). Convoluted Rubik’s encoded quantum polarized-a secure DICOM image. In Computer communication and informatics (ICCCI), 2016 international conference on (pp. 1–5). IEEE.

    Google Scholar 

  18. Kaur, G., & Verma, C. K. (2014). Comparative analysis of biometric modalities. Int J Adv Res Comput Sci Softw Eng, 4(4), 603–613.

    Google Scholar 

  19. Sirovich, L., & Kirby, M. (1987). Low-dimensional procedure for the characterization of human faces. J Opt Soc Am, 4(3), 519–524.

    Article  Google Scholar 

  20. Petju, M., Suteerayongprasert, A., Thongpud, R., & Hassiri, K. (2007). Importance of dental Records for Victim Identification Following the Indian Ocean tsunami disaster in Thailand. Public Health, 121(4), 251–257.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Trivedi, D.N., Shah, N.D., Kothari, A.M., Thanki, R.M. (2019). Dental Image Matching: A Technical Survey and Potential Challenges. In: Dental Image Processing for Human Identification. Springer, Cham. https://doi.org/10.1007/978-3-319-99471-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99471-0_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99470-3

  • Online ISBN: 978-3-319-99471-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics