INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Editing of digital images are very common these days. The process of creating fake images has been very simple with the introduction of powerful editing tools. Such tempering with digital images is known as image forgery. With the advancement of the digital image processing editing tools and software, a digital image can be easily forged. The pixel-based forgery detection aims to verify the authenticity of digital images without any prior knowledge of the original image. The detection of digital image forgery is very important because an image can be used as legal evidence, in investigations, and in many other fields.. This paper explores the effectiveness of the Scale Invariant Feature Transform (SIFT) for image matching. This method popularly used interest point detection method often applied to image matching.
Keywords:
image forgery, SIFT, interest point
Cite Article:
"Key-point detection of an image using SIFT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.14 - 18, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607005.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1607005
Registration ID:160568
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 14 - 18
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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