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

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 11
Year of Publication: 2014
Authors:
Sunita Sood
Ranju Kanwar
Malika Singh
10.5120/16841-6696

Sunita Sood, Ranju Kanwar and Malika Singh. Article: Dental Bio-metrics as Human Personal Identifier using Pixel Neighborhood Segmentation Techniques. International Journal of Computer Applications 96(11):42-43, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Sunita Sood and Ranju Kanwar and Malika Singh},
	title = {Article: Dental Bio-metrics as Human Personal Identifier using Pixel Neighborhood Segmentation Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {11},
	pages = {42-43},
	month = {June},
	note = {Full text available}
}

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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Keywords