Copy-Move forgery detection based on Harris Corner points and BRISK
Copy-Move forgery detection based on Harris Corner points and BRISK
复制标题
DOI：
10.1145/2791405.2791453
复制
发表时间：
2015-08
影响因子：
4.4
通讯作者：
Meera Mary Isaac;M. Wilscy
中科院分区：
文献类型：
--
作者：
Meera Mary Isaac;M. Wilscy
Copy-Move Image Forgery is a clean and efficient method to perform digital image forgeries. To localize a forged region, is an important task in detecting such kind of forgeries. This paper proposes a key point based passive image forensic technique to detect and localize forged regions in a manipulated image. Key points are extracted from the image using Harris Corner detector and a specific area around each key point is used for feature extraction using BRISK. The Hamming distance metric is used to detect the distances among the features obtained to facilitate the measurement of similarity. Similarity among feature vectors is detected using Nearest Neighbor Distance Ratio. Finally outliers are removed using RANSAC. The experiment results reveal the effectiveness of the proposed method to general geometrical transformations and post processing operations.
