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Reseach Article

Performance of SIFT by using different Dimensions of Images

Published on February 2017 by Sawinder Singh Mangat, Harpreet Kaur
National Conference on Latest Initiatives and Innovations in Communication and Electronics
Foundation of Computer Science USA
IICE2016 - Number 1
February 2017
Authors: Sawinder Singh Mangat, Harpreet Kaur
4d5a890b-8938-4233-956e-6d2beb311fa3

Sawinder Singh Mangat, Harpreet Kaur . Performance of SIFT by using different Dimensions of Images. National Conference on Latest Initiatives and Innovations in Communication and Electronics. IICE2016, 1 (February 2017), 9-13.

@article{
author = { Sawinder Singh Mangat, Harpreet Kaur },
title = { Performance of SIFT by using different Dimensions of Images },
journal = { National Conference on Latest Initiatives and Innovations in Communication and Electronics },
issue_date = { February 2017 },
volume = { IICE2016 },
number = { 1 },
month = { February },
year = { 2017 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/iice2016/number1/26948-1659/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Latest Initiatives and Innovations in Communication and Electronics
%A Sawinder Singh Mangat
%A Harpreet Kaur
%T Performance of SIFT by using different Dimensions of Images
%J National Conference on Latest Initiatives and Innovations in Communication and Electronics
%@ 0975-8887
%V IICE2016
%N 1
%P 9-13
%D 2017
%I International Journal of Computer Applications
Abstract

In this paper, SIFT algorithm is discussed for feature extraction in image processing Accuracy of feature extraction depends on accurate feature detection and matching. In this research, practical SIFT on different images of different dimensions and compare consequences of that images according to time taken for results.

References
  1. Luo Weiqi, Jiwu Huang and Guoping Qiu, "Robust detection of region-duplication forgery in digital image", 18th International conference on image recognition IEEE, Vol. 4, 2006.
  2. M. Ali Qureshi, M. Deriche, "A review on copy-move image forgery detection techniques".
  3. B. I. Shivakumar, Lt. Dr. S. Santhosh Baboo. "detecting copy-move forgery in digital images: A survey and analysis of current methods", Global journal of Computer science and technology, vol. 10, pp. 61-65, 2010.
  4. Davide Cozzolino, Giovanni Poggi and Luisa Verdoliva, "Efficient Dense-field copy-move forgery detection", IEEE Transaction on information forensics and security, vol. 10, No. 11, november 2015.
  5. P. M. Panchal, S . R. Panchal and S. K, Shah, "A comparison of SIFT and SURF", International journal of Innovative Research in computer and communication engineering" Vol. 1, april 2013.
  6. Mohammad Farukh Hashmi, Vijay Anand, Avinas G, Keskar, "copy-move image forgery detection using efficient and robust method combining Un-decimated Wavelet Transform and Scale invarient Feature Transform", AASRI conference on circuit and signal processing", Procedia 9, pp. 84-91, 2014.
  7. Weihai Li and Nenghai Yu, "Rotation robust detection of copy-move forgery", IEEE 17th International conference on image processing, sept, 2010.
  8. Prerna. C, percy Granaph. J, Angaline. S, Thanga Belsi. I, "A keypoint based copy-move forgery detection", international journal of advanced information science and technology, vol. 12, No. 12, April 2013.
  9. Chen-Ming Hsiu, Jen-Chun Lee and Wei-Kuei Chin, "An efficient detection algorithm for copy-move forgery", 10th Asia joint conference on Information security, 2015.
  10. Harpreet Kaur, Jyoti Saxena and Sukhjinder singh, "Key-point based copy-move forgery detection and their Hybrid methods", Journal of the International Association of Advanced Technology and science, Vol. 16, June 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Multidimensional Images Sift