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Evaluation of Robustness, Accuracy and Speed of SPIRAL for Fast Fingerprint Biometric System

by Rahul Sharma, Nidhi Mishra, Sanjeev Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 16
Year of Publication: 2013
Authors: Rahul Sharma, Nidhi Mishra, Sanjeev Kumar
10.5120/13945-1911

Rahul Sharma, Nidhi Mishra, Sanjeev Kumar . Evaluation of Robustness, Accuracy and Speed of SPIRAL for Fast Fingerprint Biometric System. International Journal of Computer Applications. 79, 16 ( October 2013), 21-26. DOI=10.5120/13945-1911

@article{ 10.5120/13945-1911,
author = { Rahul Sharma, Nidhi Mishra, Sanjeev Kumar },
title = { Evaluation of Robustness, Accuracy and Speed of SPIRAL for Fast Fingerprint Biometric System },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 16 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number16/13945-1911/ },
doi = { 10.5120/13945-1911 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:09.924520+05:30
%A Rahul Sharma
%A Nidhi Mishra
%A Sanjeev Kumar
%T Evaluation of Robustness, Accuracy and Speed of SPIRAL for Fast Fingerprint Biometric System
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 16
%P 21-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fingerprint is most popular and common biometric trait used for authentication. The fingerprint is a physiological biometric characteristic to identify person. Fingerprint recognition is the problem of searching a fingerprint in the reference database to find a fingerprint that matches a given fingerprint. For enhancing the performance and accuracy of biometric fingerprint recognition system one of the faster technique SPIRAL proposed by Woon Ho Jung is evaluated for robustness, accuracy & speed with varying constraints. To test robustness of authentication mechanism, different noises are added to original fingerprint images and found that speed & accuracy of SPIRAL is remarkable but not robustness.

References
  1. António Farelo,2005, A History of Fingerprints, INTERPOL.
  2. Markus P¨uschel, Adam C. Zelinski, and James C. Hoe,2004,Custom-Optimized Multiplier less Implementations of DSP Algorithms,IEEE.
  3. Markus Puschel, Jose M. F. Moura, Jeremy Johnson, David Padua, Manuela Veloso, Bryan W. Singer, JianxinXiong, Franz Franchetti, AcaGa?ci´c, YevgenVoronenko, Kang Chen, Robert W. Johnson, Nicholas Rizzolo,2005, SPIRAL: Code Generation for DSP Transforms,Proceedings of the IEEE, special issue on "Program Generation, Optimization And Adaptation'', Vol. 93, pp. 232- 275.
  4. Markus Puschel, Jose M. F. Moura, Jeremy Johnson, David Padua, Manuela Veloso,RobertW. Jhonson et al,2004,SPIRAL:a Generator for Plateform-Adapted Libraries of the Signal Processing Algorithms. ,IJHPCA,Vol. 18,No. 1,pp 21-45.
  5. Pablo Hennings, Jason Thornton, JelenaKovacevic, and B. V. K. Vijaya Kumar, Feb. 2005 ,Wavelet packet correlation methods in biometrics, Applied Optics, Volume. 44, Issues 5, , pp. 637–646.
  6. Paul Schrater, 2009, Recognizing Characters in Natural Scene: A Feature Study, CSci 5521 Pattern Recognition.
  7. Shashi Kumar D R, K B Raja, R K Chhotaray, Sabyasachi Pattanaik,2011,DWT Based Fingerprint Recognition using Non Minutiae Features,IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 2.
  8. Shila Samantaray,2011,ADoG based approach for fingerprint Image Enhancemment, Thesis submitted at NIT,Rourkela.
  9. Woon Ho Jung,2005, Fast Fingerprint Recognition Using Spiral, Department of Electrical and Computer Engineering, Carnegie Mellon University.
  10. Wrzeczycki8. Franz Franchetti ,2006 ,Stride Permutations and Tensor Products, Volume 4395 of LNCS. , Springer,pp 363–377.
  11. X. D. Jiang, W. Y. Yau, 2000, Fingerprint Minutiae Matching Based on the Local and Global Structures, in Proc. 15th ICPR. Barcelona, Spain, pp. 1038-104.
  12. Peters, R. A ,1995,A New Algorithm for Image Noise Reduction using Mathematical morphology,IEEE Transaction on Communication V. 4,No. 5,554-568.
  13. Rafael C. Gonzalez, 2008, Digital Image Processing, Edition-3,Pearson Education India.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric Fingerprint Identification Noise SPIRAL Wavelet Decomposition Biometric System.

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