期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2013
卷号：8
期号：5
页码：71-82
出版社：SERSC
摘要：With advances in image display technology, recapturing good-quality images from high-fidelity artificial scenery on a LCD screen becomes possible. Forgers can recapture the artificially generated scenery and use the recaptured image to fool image forensic system. Image recapture detection is to distinguish real-scene images from the recaptured ones. An image recapture detection method based on multiple feature descriptors is proposed in this paper, which uses combinations of low-level features including texture, noise, difference histogram and color information. One hundred and thirty-six dimensions of features are extracted to train a support vector machine classifier with RBF kernel. Experimental results show that the proposed method is efficient with good detection rate of distinguishing real-scene images from the recaptured ones. It also possesses low dimensional features and low time complexity
