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Dental Bio-metrics as Human Personal Identifier using Pixel Neighborhood Segmentation Techniques

by Sunita Sood, Ranju Kanwar, Malika Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 11
Year of Publication: 2014
Authors: Sunita Sood, Ranju Kanwar, Malika Singh
10.5120/16841-6696

Sunita Sood, Ranju Kanwar, Malika Singh . Dental Bio-metrics as Human Personal Identifier using Pixel Neighborhood Segmentation Techniques. International Journal of Computer Applications. 96, 11 ( June 2014), 42-43. DOI=10.5120/16841-6696

@article{ 10.5120/16841-6696,
author = { Sunita Sood, Ranju Kanwar, Malika Singh },
title = { Dental Bio-metrics as Human Personal Identifier using Pixel Neighborhood Segmentation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 11 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 42-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number11/16841-6696/ },
doi = { 10.5120/16841-6696 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:30.911632+05:30
%A Sunita Sood
%A Ranju Kanwar
%A Malika Singh
%T Dental Bio-metrics as Human Personal Identifier using Pixel Neighborhood Segmentation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 11
%P 42-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Dental Biometrics has emerged as vital bio-metric information of human being on account of its stability and invariant nature and of course uniqueness. The presented work shows the dental unique feature set that may be used for claiming of the human personal identity using dental radiograph (x-ray graph). . The complete jaw is divided into four parts: left and right upper jaws, left and right lower jaws. Unique feature set includes number of teeth in each portion, maximum and minimum size in each portion, area and perimeter of each tooth in each portion and information regarding missing teeth in any of the portion. Later on, a database of features along with person under scanner profile is maintained for retrieval purposes.

References
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  7. Shaishavkumar Parmar1 Mehul Amin2 , "Determination of unique Feature set for AM Bitewing Dental Radiographs as a Bio-metric information", IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 10, 2013 | ISSN (online): 2321-0613
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Index Terms

Computer Science
Information Sciences

Keywords

Dental Bio-metrics

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