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Reseach Article

A Fingerprint Template Protection using Watermarking

by Sunil Kumar, Garima, Aditi Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 8
Year of Publication: 2016
Authors: Sunil Kumar, Garima, Aditi Garg
10.5120/ijca2016911523

Sunil Kumar, Garima, Aditi Garg . A Fingerprint Template Protection using Watermarking. International Journal of Computer Applications. 149, 8 ( Sep 2016), 10-14. DOI=10.5120/ijca2016911523

@article{ 10.5120/ijca2016911523,
author = { Sunil Kumar, Garima, Aditi Garg },
title = { A Fingerprint Template Protection using Watermarking },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 8 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number8/26016-2016911523/ },
doi = { 10.5120/ijca2016911523 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:11.371862+05:30
%A Sunil Kumar
%A Garima
%A Aditi Garg
%T A Fingerprint Template Protection using Watermarking
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 8
%P 10-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a watermarking technique for fingerprint images using the DWT-SVD (Discrete WaveletTransform -Singular Value Decomposition). The watermarking image is embedded and extracted to calculated the PSNR (Peak Signal to Noise Ratio) and NC (Normalized cross correlation) value. Watermark Embedding Technique or the algorithm should be imperceptible i.e. embedding watermark should not affect the quality of original image but can be improved the quality of image. MSE (Mean Squared Error), PSNR (Peak Signal to Noise Ratio) between the original host image and the corresponding watermarked image to calculate of the superiority of a watermark embedded images and NC (Normalization co-relation) is calculated between Watermark images and extracted watermarked to the superiority of a watermark extracted images. Watermark should be robustly embedded into image which remains in fact after any type of image processing. This research work will be to present highly imperceptible & robust. Images watermark embedding and extraction technique. The DWT-SVD (Discrete WaveletTransform -Singular Value Decomposition) domain is used to embed the watermark data into fingerprint images and Singular Value Decomposition (SVD) is used to transform the image in this technique are going to present a watermarking algorithm with the combination of images.

References
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  3. G. Bhatnagar and B. Raman, “A new robust reference watermarking scheme based on DWT-SVD”, Computer Standards & Interfaces (2009), Volume 31, No. 5,pp: 1-6, Sept. 2009.
  4. G.Bhatnagarl and R.Balasubramanian,“Robust Watermarking in Multiresolution Walsh-Hadamard Transform”, International Advance Computing Conference (IACC 2009), pp: 894-899, Patiala, India, March 2009
  5. T. RamashriandRajani, “Image Watermarking Algorithm using DCT, SVD and Edge Detection Technique”, International Journal of Engineering Research and Applications, Volume 1, No. 4, pp: 1828-1834,2013
  6. S.Ramakrishnan, T.Gopalakrishnan, K.Balasamy, “SVD Based Robust Digital Watermarking For Still Images Using Wavelet Transform”, D.C. Wyld, et al. (Eds): CCSEA 2011, CS & IT 02, pp: 155–167, Tamil Nadu, India, 2011.
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Index Terms

Computer Science
Information Sciences

Keywords

DWT-SVD Watermarking Image Embedding Extraction Fingerprint Image