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An Extraction and Recognition of Tongue-Print Images for Biometrics Authentication System

by Manoj Diwakar, Manish Maharshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 3
Year of Publication: 2013
Authors: Manoj Diwakar, Manish Maharshi
10.5120/9912-4509

Manoj Diwakar, Manish Maharshi . An Extraction and Recognition of Tongue-Print Images for Biometrics Authentication System. International Journal of Computer Applications. 61, 3 ( January 2013), 36-42. DOI=10.5120/9912-4509

@article{ 10.5120/9912-4509,
author = { Manoj Diwakar, Manish Maharshi },
title = { An Extraction and Recognition of Tongue-Print Images for Biometrics Authentication System },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 3 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number3/9912-4509/ },
doi = { 10.5120/9912-4509 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:08.214880+05:30
%A Manoj Diwakar
%A Manish Maharshi
%T An Extraction and Recognition of Tongue-Print Images for Biometrics Authentication System
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 3
%P 36-42
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometrics authentication system promises to deliver a level of uniqueness to identification applications that uses Tongue print, fingerprint or facial scans and iris or voice recognition to identify users. The tongue is a unique organ in that it can be stuck out of mouth for inspection, in this act offering a proof of life, and yet it is otherwise well protected in the mouth and is difficult to forge. The tongue also presents both geometric shape information and physiological texture information which are potentially useful in identity verification applications. Tongue biometric can function as an extremely reliable means for personal identification and act as a general biometric in all applications. This paper demonstrates two phases. First, find out spots on the tongue with the help of histogram and second phase to extract image tongue and recognize from the tongue-image database.

References
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Index Terms

Computer Science
Information Sciences

Keywords

tongue-print biometric Histogram pattern recognition system Tongue code Biometrics authentication system SIFT Feature Extraction

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