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Latent Finger Print Matching using FFT and DCT

by P. Sony, K. Kiran, R. Bharat Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 6
Year of Publication: 2017
Authors: P. Sony, K. Kiran, R. Bharat Kumar
10.5120/ijca2017915837

P. Sony, K. Kiran, R. Bharat Kumar . Latent Finger Print Matching using FFT and DCT. International Journal of Computer Applications. 178, 6 ( Nov 2017), 27-31. DOI=10.5120/ijca2017915837

@article{ 10.5120/ijca2017915837,
author = { P. Sony, K. Kiran, R. Bharat Kumar },
title = { Latent Finger Print Matching using FFT and DCT },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 178 },
number = { 6 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number6/28680-2017915837/ },
doi = { 10.5120/ijca2017915837 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:49:42.557090+05:30
%A P. Sony
%A K. Kiran
%A R. Bharat Kumar
%T Latent Finger Print Matching using FFT and DCT
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 6
%P 27-31
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human fingerprints be affluent in particulars called minutiae, which be able to used as credentials marks for fingerprint authentication. The objective of this project is to build up a complete system for fingerprint verification through extracting and matching minutiae. To achieve excellent minutiae extraction in fingerprints with varying quality, pre-processing in form of image enhancement and binarization is first applied on fingerprints before they are evaluated. Several methods have been joint to build a minutia extractor and a minutia matcher. Minutia-marking with false minutiae removal methods are used in the work. An alignment based elastic matching algorithm has been urbanized for minutia matching. This algorithm is capable of finding the correspondences between input minutiae pattern and the stored template minutia pattern without resorting to comprehensive search. Performance of the developed system is carried out by using FFT and DCT, and the results are analyzed on a data base with fingerprints from different people.

References
  1. P.Sony & L.Padmalatha, ”Latent Fingerprint Matching Based on Texture Descriptor using Hough Transform” in International Journal of computer Applications (0975-8887) Volume 106 No-17.NOV-2014.
  2. A. A. Paulino, J. Feng & A. K. Jain, “Latent fingerprint matching using descriptor-based Hough transform,” in Proc. Int. Joint Conf. Biometrics, Oct. 2011.
  3. R. Cappelli, M. Ferrara, and D. Maltoni, “Minutiacylinder-code:A new representation & matching technique for fingerprint recognition,” IEEE Trans.Pattern Anal. Mach. Intell., vol. 32, no. 12, pp.2128–2141, Dec. 2010.
  4. C. Champod, C. Lennard, P. Margot & M. Stoilovic, Fingerprints and Other Ridge Skin Impressions. Boca Raton, FL: CRC Press, 2004.
  5. D. R. Ashbaugh, Quantitative-Qualitative Friction Ridge Analysis. Boca Raton, FL: CRC Press, 1999.
  6. X. Jiang and W.-Y. Yau, “Fingerprint minutiae matching based on the local & global structures”, in Proc. 15th Int. Conf. Pattern Recognition.
Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement Minutiae Extraction False minutiae Minutiae matching FFT DCT.

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