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A Machine Learning Approach for Enhanced Fingerprint Recognition Technique

by Heli Shah, Rajat Arora
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 6
Year of Publication: 2017
Authors: Heli Shah, Rajat Arora
10.5120/ijca2017915627

Heli Shah, Rajat Arora . A Machine Learning Approach for Enhanced Fingerprint Recognition Technique. International Journal of Computer Applications. 176, 6 ( Oct 2017), 19-23. DOI=10.5120/ijca2017915627

@article{ 10.5120/ijca2017915627,
author = { Heli Shah, Rajat Arora },
title = { A Machine Learning Approach for Enhanced Fingerprint Recognition Technique },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 6 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number6/28556-2017915627/ },
doi = { 10.5120/ijca2017915627 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:49.106964+05:30
%A Heli Shah
%A Rajat Arora
%T A Machine Learning Approach for Enhanced Fingerprint Recognition Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 6
%P 19-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increasing awareness about the security systems, there has been a development of different types of biometric systems in this field. One of the most common and cost effective biometric systems is Fingerprint Biometrics. Enhanced Fingerprint Identification Technique describes mathematical algorithms to overcome the limitations faced while using the conventional fingerprint biometric systems. Enhanced Fingerprint Identification Technique provides improvised and efficient recognition process. Lumidigm sensor, captures images of skin at different wavelengths, has been used to get a multispectral image of fingerprint. GLCM algorithm is used for extracting features from the acquired fingerprint image. DTW Comparison is used for identification and verification process. Machine learning based amalgamated algorithms will overcome the hindrance faced in the recognition process while using the conventional fingerprint scanner.

References
  1. J.D.Woodward,N.M.Orlans,andP.T.Higgins,Biometrics,NewYork: McGraw-Hill, 2002.
  2. S. Prabhakar, S. Pankanti, A. K. Jain, "Biometric Recognition: Security and Privacy Concerns", IEEE Security & Privacy, March/April 2003, pp.33-42.
  3. SharathPankanti, "On the Individuality of Fingerprints", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, No.8, August 2002.
  4. US-VISIT Program Overview, Department of Homeland Security. (2004, Dec.13).[Online].Available:http://www.dhs.gov/dhspublic/interapp/edito rial/editorial_0445.xml
  5. Undergraduate Curriculums (2014, Dec. 13). [Online]. Available:http://www.lcsee.cemr.wvu.edu/ugrad/curriculum
  6. Course Catalog (2004, Dec. 13). [Online]. Available: http://www.cse. nd.edu/academics/catalog.php
  7. IndustrialTechnology(2015,Dec.13).[Online].Available:http://www. tech.purdue.edu/it/resources/biometrics/it-345.html/
  8. Sweta, Amit Walia, "Classification and Improvement of Fingerprint Verification Using Support Vector Machine" International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 6, ISSN: 2277 128X June 2014
  9. Rupinder Saini, Narinder Rana "Comparison of Various Biometric Methods" International Journal of Advances in Science and Technology (IJAST) Vol 2 Issue I (March 2014) ISSN 2348-5426
  10. Urvik Patel, “A Study on Fingerprint (biometrics) Recognition” International Journal of Engineering and Sciences (eISSN-2394-6180), Volume -1 Isuue-2, Feb-2015
  11. Antonio Iula, Alessandro Savoia, Giosue Caliano, “ Capacitive micro- fabricated ultrasonic transducers for biometric applications” Microelectronic Engineering 88 (20122) 2278-2280
  12. A. Krizhevsky, I. Sutskever, G. Hinton, Adv. Neural Inf. Process. Syst.25, 1097–1105, 2015.
  13. Annett, M., Grossman, T., Wigdor, D., and Fitzmaurice, G. Medusa: A Proximity-Aware Multi-touch Tabletop. Proc. UIST 2011, pp.337–382
  14. H. B. Kekre, Tanuja K. Sarode, “Fast Codebook Generation Algorithm for Color Images using Vector Quantization,” Int. Journal of Computer Science and Info. Technology, Vol. 1, No. 1, pp.: 7-12, Jan
  15. Qiu, “Color Image Indexing Using BTC”, IEEE Transactions on Image Processing, Volume 12, Number 1, pp.93-101, Jan 2013
  16. H. Schulz-Mirbach, “Constructing invariant features by averaging techniques”, In IAPR International Conference on Pattern Recognition (ICPR), Volume 2, pp 387–390, Jerusalem, Israel, October 1994.
  17. Tappert, C. & Das, S. Memory and time improvements in a dynamic programming algorithm for matching speech patterns. IEEE Trans. Acoustics, Speech, and Signal Proc., Vol. ASSP-26, 583-586.
  18. Agrawal R, Lin KI, Sawhney HS, Shim K Fast similarity search in the presence of noise, scaling, and translation in times-series databases. In: Proceedings of the 21st international conference on very large databases, pp 490–501, Jan 2010
Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint GLCM algorithm Dynamic Time Warping algorithm fingerprint spoofing biometric system

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