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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.<\/jats:p>","DOI":"10.3233\/jcm-215914","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T10:29:42Z","timestamp":1640341782000},"page":"689-696","source":"Crossref","is-referenced-by-count":0,"title":["Recaptured images detection algorithm based on frequency domain transformation1"],"prefix":"10.1177","volume":"22","author":[{"given":"Chang-M.","family":"Liu","sequence":"first","affiliation":[{"name":"Computer Department, Air Force Aviation University, Changchun, Jilin, China"}]},{"given":"Yan-J.","family":"Sun","sequence":"additional","affiliation":[{"name":"Computer Department, Air Force Aviation University, Changchun, Jilin, China"}]},{"given":"Yu","family":"Shi","sequence":"additional","affiliation":[{"name":"Communication Countermeasures Teaching and Research Department, Air Force Aviation University, Changchun, Jilin, China"}]}],"member":"179","reference":[{"key":"10.3233\/JCM-215914_ref1","doi-asserted-by":"crossref","unstructured":"Gao X, Qiu B, Ng TT. 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