Analytical Study of Human Identification System Based on Dental Images

  • Deven N. Trivedi
  • Nimit D. Shah
  • Ashish M. Kothari
  • Rohit M. Thanki


This chapter gives information on the implementation and results of human identification system based on dental images. This chapter also gives a performance analysis of human identification system based on dental images.


Dental Edges EER FRR FAR 


  1. 1.
    Biometrics Testing and Statistics (2006). National Science and technology council (NSTC) Report, August. Available:
  2. 2.
    Jain, A., Ross, A., & Prabhakar, S. (2004). An introduction to biometric recognition. IEEE transactions on circuits and Systems for Video Technology, special issue on image and video based. Biometrics, 14(1), 4–20.Google Scholar
  3. 3.
    Giot, R., El-Abed, M., & Rosenberger, C. (2012). Fast computation of the performance evaluation of biometric systems: Application to multibiometrics. Future Generation Computer Systems, 1, 1–30.Google Scholar
  4. 4.
    Shen, J., & Castan, S. (1988). Edge detection based on multi-edge models. In Real-time image processing: Concepts and technologies (Vol. 860, pp. 46–54). International Society for Optics and Photonics.Google Scholar
  5. 5.
    Sandberg, B., Chan, T., & Vese, L. (2002). A level-set and Gabor-based active contour algorithm for segmenting textured images. In UCLA Department of mathematics CAM report.Google Scholar
  6. 6.
    Meng, X., Nandagopal, T., Li, L., & Lu, S. (2006). Contour maps: Monitoring and diagnosis in sensor networks. Computer Networks, 50(15), 2820–2838.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Deven N. Trivedi
    • 1
  • Nimit D. Shah
    • 2
  • Ashish M. Kothari
    • 3
  • Rohit M. Thanki
    • 2
  1. 1.E. C. DepartmentG. H. Patel College of Engineering and TechnologyVallabh VidyanagarIndia
  2. 2.C. U. Shah UniversityWadhwan CityIndia
  3. 3.Atmiya Institute of Technology and ScienceRajkotIndia

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