This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Authentic picture recognition using recursive characteristics matching and base point extraction
Authors
Gauraw F Jumnake, Dr Sanjay Thakur
Abstract
Authenticity and originality of images is big concern all the time. Original images are edited, modified and are republish which may generate chaotic situation in many ways. In history lots such incidences are recorded. This paper focuses on verifying authentic and original image by using recursive characteristics points matching then from which interested part from image is extracted containing base point. These base points are matched against the same image which is divided into blocks using single invariant Fourier transform. final output shows the highlighted duplicate area.
Keywords- Characteristics point, Base point, SIFT, SURF, Haar wavlet.
Publication Details
Unique Identification Number - IJEDR1702289Page Number(s) - 1841-1847Pubished in - Volume 5 | Issue 2 | June 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Gauraw F Jumnake, Dr Sanjay Thakur, "Authentic picture recognition using recursive characteristics matching and base point extraction", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1841-1847, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702289.pdf
Article Preview
|
|
||||||
|
|
||||||||
