Enter Your Email Id To Download Paper
IJERT-EMS


Analysis Of Dental Image Processing For Human Identification

Anita Patel, Pritesh Patel, Assi.Prof. Ashtha Baxi . " Vol.1 - Issue 10 (December - 2012) ", Analysis Of Dental Image Processing For Human Identification, International Journal of Engineering Research & Technology (IJERT) , ISSN: 2278-0181 , www.ijert.org

Anita Patel, Pritesh Patel, Assi.Prof. Ashtha Baxi. (Analysis Of Dental Image Processing For Human Identification ) . " Vol.1 - Issue 10 (December - 2012) ", International Journal of Engineering Research & Technology (IJERT) , ISSN: 2278-0181 , www.ijert.org

Authors: Anita Patel, Pritesh Patel, Assi.Prof. Ashtha Baxi
Publication Date: 28-12-2012



Dental X-ray has played an important role in human identification. Particularly, in cases of severe accidents, plane crash, earthquake, etc. Wherein other identification clues like fingerprint, iris, etc. are not available for identification of missing or unidentified persons and moreover dental features remain more or less invariant over time. The purpose of dental image processing is to match the post-mortem (PM) radiograph with the ante-mortem (AM) radiograph based on some characteristic or feature of the radiograph. The dental images acquired may be of poor quality and contrast. Hence it is important to first enhance the quality of image and thereafter various segmentation algorithms are applied to the enhanced dental image. Various features of individual tooth are being extracted and identification is performed based on matching of these feature vectors of PM images with those of AM images. This paper gives an overview of various enhancement, segmentation and feature extraction, matching technique for human identification using dental radiographs.



Author(s):  Anita Patel, Pritesh Patel, Assi.Prof. Ashtha Baxi

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 10 (December - 2012)

e-ISSN:   2278-0181


Number of Citations for this article:  Data not Available


Key Word(s):    


Number of Downloads:    911

Copyright ESRSA Publications Pvt. Ltd.. All Rights Reserved.