CFP last date
22 April 2024
Reseach Article

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

by Manoj Diwakar, Manish Maharshi
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
  1. Zhi Liu, Jing-Qi Yan, David Zhang, Qun-Lin Tang; "A Tongue-Print Image Database For Recognition", in proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, August 2007,pp. 19-22.
  2. J. Sheeba Rani, D. Devaraj, R. Sukanesh; "A Novel Feature Extraction Technique for Face Recognition", proceedings of International Conference on Computational Intelligence and Multimedia Applications 2007, pp. 431-435.
  3. P. Ekman, W. Friesen, "Constants across cultures in the faceand emotion," Journal of Personality and Social Psychology,1971. 17(2): pp. 124-129.
  4. Biometrics, Personal Identification in Networked Society, A. Jain, R. Bolle, and S. Pankanti, eds. , Kluwer AcademicPublishers, Boston, July 1999.
  5. Chandrashaker, Siv Aramakrishna and Gordon Lee; "Facial information Retrieval Using Component-based Classification and Scale Invariance", World Automation Congress (WAC), 2010,pp. 1-6 .
  6. Chao Li, Armando Barreto; "an Integrated 3D Face Expression Recognition Approach. " In proceeding of ICASSP 2006 vol 3 pp. 1132-1135
  7. Giovanni Garibotto ElsagDatamat spa; "Video Surveillance and Biometric Technology Applications" in proceedings of sixth IEEE International conference Advanced Video and Signal Based Surveillance 2009,pp. 288.
  8. Michael Negin ,Thomas A. Chmielewski, Jr. Marcos Salganicoff ,Theodore A. Camus,Ulf M. Cahnvon Seelen, Péter L. Venetianer, Guanghua G. Zhang. "An Iris Biometric System for Public and Personal Use, of The Software Engineering Coordinating Committee Leading the next generation of software Feb. 2000".
  9. Wangmeng Zuo, Kuanquan Wang, Zhang, D. , Hongshi Zhang, Combination of polar edge detection and active contour model for automated tongue segmentation, Proceedings of Third International Conference of Image and Graphics, Dec. 2004,pp. 270 -273.
  10. Liu Zhi, Jing-qi Yan, Tao Zhou, Qun-lin Tang, Tongue Shape Detection Based on B-Spline ICMLC2006, Aug. 2006, Vol. 6, pp. 3829-3832.
  11. Zheng Jun, Zhu Jing, Image matching based on adaptive genetic algorithm, Chinese Journal of Zhejiang University:Engineering Science,2003.
  12. J. D. Daugman, "High-Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Trans. Pattern Matching and Machine Intelligence,Nov. 1993, pp. 1,148-1,160.
  13. Stephen Milborrow, Fred Nicolls, "Locating Facial Features with an Extended Active Shape Model," Lecture notes in computer science,2008.
  14. Jin-Woong Park, Sun-Kyung Kang, Sung- Tae Jung in" Tongue Diagnosis System Based on PCA and SVM" published in " World Academy of Science, Engineering and Technology 60 2011".
Index Terms

Computer Science
Information Sciences

Keywords

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