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Reseach Article

A Novel Approach based on Image Processing in the Analysis of Human Dental Forensic

by Samarth Borker, Hiroj Naik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 16
Year of Publication: 2014
Authors: Samarth Borker, Hiroj Naik
10.5120/15718-4618

Samarth Borker, Hiroj Naik . A Novel Approach based on Image Processing in the Analysis of Human Dental Forensic. International Journal of Computer Applications. 89, 16 ( March 2014), 39-43. DOI=10.5120/15718-4618

@article{ 10.5120/15718-4618,
author = { Samarth Borker, Hiroj Naik },
title = { A Novel Approach based on Image Processing in the Analysis of Human Dental Forensic },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 16 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number16/15718-4618/ },
doi = { 10.5120/15718-4618 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:26.712931+05:30
%A Samarth Borker
%A Hiroj Naik
%T A Novel Approach based on Image Processing in the Analysis of Human Dental Forensic
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 16
%P 39-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Forensic Odontology is a study dedicated to identifying individuals based on specific characteristics of teeth structural arrangement. Human bite mark analysis is by far the most demanding and complicated part of forensic dentistry. This process generally involves human interaction and hence tends to bias. In this paper a system is tested and implemented that reduces human bias to certain extent. Each person has a unique dental arrangement which is exploited to identify an individual to the exclusion of all others. In this paper diverse approaches have been proposed for human bite mark identification and human dental radiograph identification. The experimental results clearly demonstrate that the approach significantly outperforms the existing ones in terms of execution time. The proposed method is also seen to be effective under a wide variety of imaging conditions.

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Index Terms

Computer Science
Information Sciences

Keywords

Bite mark identification dental radiograph identification image analysis forensic dentistry multidisciplinary approach.