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webADIS: a flexible web-based environment for the Automated Dental Identification System

Published: 21 May 2006 Publication History

Abstract

Automating the process of postmortem (PM) identification of individuals using dental records is receiving increased attention. In developing a research prototype of an Automated Dental Identification System (ADIS), research teams from multiple institutions collaborated with forensic experts from the US Federal Bureau of Investigation Criminal Justice Information Services division to identify the functional requirements of ADIS. A multitude of digital image processing and pattern recognition techniques were developed to meet the requirements of the constituent components of ADIS. In this demo, we present a web-based environment called webADIS that integrates ADIS components and provides a unified web-based interface. webADIS provides support for configuring the system into multiple possible realizations for some components as well as alternative identification strategies.

References

[1]
Fahmy, G., Nassar, D., Haj Said, E., Ammar, H., Abdel-Mottaleb, M., Chen, H., Jain, A., "Toward an Automated Dental Identification System", Journal of Electronic Imaging, Vol. 14, No. 4, 2005.
[2]
Li, X., Abaza, A., Nassar, D., and Ammar, H. "Fast and Accurate Segmentation of Dental X-ray Records", Proc. of 2006 International Conference on Biometric Authentication (ICBA), Hong Kong, Jan 2006.
[3]
Zhou, J., and Abdel-Mottaleb, M. "A Content-based System for Human Identification based on Bitewing Dental X-Ray Images", Pattern Recognition, Vol. 38, No. 11, pp. 2132--2142, 2005.
[4]
Anil K Jain and Hong Chen, "Matching of Dental X-ray images for Human identification", Pattern Recognition, vol. 37, pp. 1519--1532, 2004.
[5]
O. Nomir and M. Abdel-Mottaleb, "A system for Human Identification from X-Ray Dental Radiographs", Pattern Recognition, vol. 38, pp. 1295--1305, 2005.
[6]
Eyad Haj Said, Diaa Nassar, Gamal Fahmy, and Hany Ammar, "Teeth Segmentation and Enhancement in Digitized Dental X-Rays Films", to appear in IEEE Transactions on Information Forensics and Security.
[7]
Eyad Haj Said, Diaa Nassar, and Hany Ammar, "Image segmentation for automated dental identification", Proc. of SPIE Electronic Imaging, Jan 2006.
[8]
Mahoor, M., and Abdel-Mottaleb, M. "Automatic Classification of Teeth in Bitewing Images", Proc. of ICIP 2004, Singapore, August 2004.
[9]
H. Chen and A. Jain, "Dental Biometrics: Alignment and Matching of Dental Radiographs", IEEE Transactions on PAMI, Vol. 27, No. 8, pp. 1319--1326, August 2005.
[10]
Nassar, D., Ogirala, M., Adjeroh, D., and Ammar, H., "An Efficient Multi-Resolution GA approach to Dental Image Alignment", Proc. of SPIE Electronic Imaging, Jan 2006.
[11]
SatyaSrinivas Chekuri "A Web-Based Environment for Automated Dental Identification Research" Masters Thesis. Department of Electrical and Computer Engineering - WVU, 2005.

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dg.o '06: Proceedings of the 2006 international conference on Digital government research
May 2006
526 pages

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  • NSF: National Science Foundation

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Digital Government Society of North America

Publication History

Published: 21 May 2006

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dg.o '06
Sponsor:
  • NSF
dg.o '06: Digital government research
May 21 - 24, 2006
California, San Diego, USA

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dg.o '06 Paper Acceptance Rate 20 of 58 submissions, 34%;
Overall Acceptance Rate 150 of 271 submissions, 55%

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