Key-point detection of an image using SIFT
Shraddha Dewangan
, Anish Kumar Vishwakarma
image forgery, SIFT, interest point
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.
"Key-point detection of an image using SIFT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.14 - 18, July-2016, Available :https://ijsdr.org/papers/IJSDR1607005.pdf
Volume 1
Issue 7,
July-2016
Pages : 14 - 18
Paper Reg. ID: IJSDR_160568
Published Paper Id: IJSDR1607005
Downloads: 000346998
Research Area: Engineering
Country: BHILAI, DURG, CHHATTISGRAGH, INDIA
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
