Robust Copy-move Forgery Detection through Invariant Moment Features
學年 105
學期 1
發表日期 2016-11-14
作品名稱 Robust Copy-move Forgery Detection through Invariant Moment Features
作品名稱（其他語言）
著者 Chien-Chang Chen and Han Wang
作品所屬單位
出版者
會議名稱 The Fifth International Conference on Informatics & Applications (ICIA 2016)
會議地點 Takamatsu, Japan
摘要 The proposed scheme uses the invariant features extracted from each block to detect the copy-move forgery detection regions in a digital image. In the proposed scheme, an image is first divided into overlapping blocks. Then, seven invariant moments of the maximum circle area in each block are calculated as moment features. Mean and variance of these seven moment features, as second feature set, are acquired for block comparison to reduce computation time. Thus, the proposed scheme takes limited computation time. The copy-move forgery regions can be found by matching the detected blocks with relative distance calculation. Experimental results show that the adopted moment features are efficient for detecting rotational or flipped duplicated regions.
關鍵字 forgery duplication; invariant moment; mean; variance; clustering
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20161114~20161116
通訊作者
國別 JPN
公開徵稿
出版型式
出處 The Fifth International Conference on Informatics & Applications (ICIA 2016)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112055 )