Affiliations: [a] Computer Department, Air Force Aviation University, Changchun, Jilin, China | [b] Communication Countermeasures Teaching and Research Department, Air Force Aviation University, Changchun, Jilin, China
Correspondence:
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Corresponding author: Yan-J. Sun, Computer Department, Air Force Aviation University, Changchun, Jilin, China. E-mail: [email protected].
Note: [1] This article received a correction notice (Erratum) post publication with DOI 10.3233/JCM-229000, available at http://doi.org/10.3233/JCM-229000.
Abstract: With the raising popularity of digital devices in the current society, the present image detection system is becoming a great threaten. Especially the appearance of the recaptured images. It can be used in traditional invalid digital image detection algorithm. There is a new algorithm in this paper is presented to detect the recaptured and real image. The algorithm obtains low-frequency images, directional filtering images and high-frequency images by multiple application frequency domain filtering. Then the proposed algorithm analyzes the directional filtering images and high-frequency images by means of LBP algorithm to extract features. At last, the recaptured images were classified by the SVM. The experimental results demonstrated the algorithm in this paper could be effectively identify in the recaptured images.
Keywords: Image processing, frequency domain filtering, image detection, recaptured image
