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BRISK and SIFT-based Copy-Move Forgery Detection of Digital Images |
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| รหัสดีโอไอ | |
| Creator | Sumi Uma and P. D. Sathya |
| Title | BRISK and SIFT-based Copy-Move Forgery Detection of Digital Images |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2564 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 12 |
| Journal No. | 3 |
| Page no. | 12A3H: 1-12 |
| Keyword | Copy-move forgery (CMF), BRISK algorithm, K-means clustering, Key-point technique, Image forgery, SIFT algorithm, CMFD. |
| URL Website | http://TuEngr.com/Vol12_3.html |
| Website title | ITJEMAST V12(3) 2021 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | This paper presents a simple method for copy-move forgery detection (CMFD) of digital images with a view of enhancing the computational speed. The method employs BRISK, which is based on the FAST corner detector, for identifying the key points (KPs), and then uses SIFT for evaluating the feature descriptors at the identified KPs. It also applies wavelet transform for feature reduction and K-means clustering for transforming from feature space into cluster space. It eliminates false matches by using RANSAC. The paper exhibits the superior performances of the developed method over existing methods by presenting results on 500 digital images. |
