CFP last date
20 December 2024
Reseach Article

Biometrics : Analysis of Fingerprint using Hybrid Transformations

by Amanpreet Kaur, Rekha Vig, Swaran Ahuja
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 2
Year of Publication: 2016
Authors: Amanpreet Kaur, Rekha Vig, Swaran Ahuja
10.5120/ijca2016910115

Amanpreet Kaur, Rekha Vig, Swaran Ahuja . Biometrics : Analysis of Fingerprint using Hybrid Transformations. International Journal of Computer Applications. 144, 2 ( Jun 2016), 20-23. DOI=10.5120/ijca2016910115

@article{ 10.5120/ijca2016910115,
author = { Amanpreet Kaur, Rekha Vig, Swaran Ahuja },
title = { Biometrics : Analysis of Fingerprint using Hybrid Transformations },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 2 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number2/25152-2016910115/ },
doi = { 10.5120/ijca2016910115 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:34.021799+05:30
%A Amanpreet Kaur
%A Rekha Vig
%A Swaran Ahuja
%T Biometrics : Analysis of Fingerprint using Hybrid Transformations
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 2
%P 20-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A biometric system is a secured recognition system that is used for the establishment of the personal identification of the individuals using their biometrics which are unique features and make the system more authentic. Our aim, here is to build such a system which gives more accurate confirmation of the individual identities. In this paper, we have used one biometric trait i.e. fingerprint for identification. The features of fingerprints have been extracted using different combinations of existing transforms generated by the Kroneckar product of two transforms at a time to form hybrid transform. The existing orthogonal transforms which are used here are DCT, DFT, Walsh, Haar and Kekre. By generating the energy matrix and extracting the features by varying the energy threshold from 95% to 99.99% efficiency of the fingerprint biometric system obtained is up to 94.64% with the hybrid transform (DCT and Walsh combination).

References
  1. A. K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, pp. 4–20, Jan 2004.
  2. A. A. Paulino, J. Feng, and A. K. Jain, “Latent fingerprint matching using descriptor-based Hough transform,” in Int’l Joint Conf. on Biometrics, October 2011, pp. 1–7.
  3. Arun Ross and Anil K. Jain, “Multimodal Biometrics: An Overview” Proc. of 12th European Signal Processing Conference (EUSIPCO), (Vienna, Austria), pp. 1221-1224, September 2004.
  4. Kekre, H. B., Rekha Vig, Saurabh Bisani, Tanuja Sarode, Pranay Arya, and Aashita Irani. "Identification of multi-spectral palmprints using energy compaction by Hybrid wavelet", 2012 5th IAPR International Conference on Biometrics (ICB), 2012.
  5. V. Conti, G. Vitello and F. Sorbello, S. Vitabile, “An Advanced Technique for User Identification using Partial Fingerprint”, 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems.
  6. Manvjeet Kaur, Mukhwinder Singh, Akshay Girdhar, and Parvinder S. Sandhu, “Fingerprint Verification System using Minutiae Extraction Technique.” World academy of Science, Engineering and Technology, page no. 46, 2008.
  7. Hoi Le, The Duy Bui, “Online fingerprint identification with a fast and distortion tolerant hashing.” Journal of Information Assurance and Security 4 page no. 117-123, 2009.
  8. Anil Jain, Yi Chen, and Meltem Demirkus, “Pores and Ridges: Fingerprint Matching Using Level 3 Features.” Pattern recognition letters, page no. 2221-2224, 2004.
  9. A. Ross, S. Dass, and A.K. Jain, “A deformable model for fingerprint matching”, Journal of pattern Recognition, Elsevier, Vol. 38, no1.
  10. T. Matsumoto, H. Hoshinok. Yamada and Hasino, “Impact of artificial gummy fingers on fingerprint systemt”, In Proc. of SPIE, volume 4677.
  11. Jie Y, Fang Y, Renjie Z., Qifa S. fingerprint minutae matching algoritham for real time system. Pattern Recogn 2006; 39:143-6
  12. Sangita Bharkad, Manesh Kokare, “Fingerprint Matching using Discreet Wavelet Packet Transform”, 2013 3rd IEEE International Advance Computing Conference (IACC).
  13. Mohammed Alkhathami, Fengling Han and Ron Van Schyndel, “Fingerprint Image Protection Using Two Watermarks Without Corrupting Minutiae”, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).
Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Recognition Transformations Wavelets Kroenecker product Hybrid transform Fingerprint.