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This paper proposes a novel selection method for Rich Model steganalysis features. First, the separability of each feature component in the submodels of Rich Model is measured based on the Fisher criterion, and the feature components are sorted in the descending order based on the separability. Second, the correlation coefficient between any two feature components in each submodel is calculated, and feature selection is performed according to the Fisher value of each component and the correlation coefficients. Finally, the selected submodels are combined as the final steganalysis feature. The results show that the proposed feature selection method can effectively reduce the dimensionalities of JPEG domain and spatial domain Rich Model steganalysis features without affecting the detection accuracies.<\/jats:p>","DOI":"10.1155\/2021\/6680528","type":"journal-article","created":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T19:50:05Z","timestamp":1619725805000},"page":"1-12","source":"Crossref","is-referenced-by-count":3,"title":["Feature Selection of the Rich Model Based on the Correlation of Feature Components"],"prefix":"10.1155","volume":"2021","author":[{"given":"Shunhao","family":"Jin","sequence":"first","affiliation":[{"name":"Zhengzhou Science and Technology Institute, Zhengzhou 450001, China"},{"name":"Henan Key Laboratory of Cyberspace Situation Awareness, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fenlin","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhengzhou Science and Technology Institute, Zhengzhou 450001, China"},{"name":"Henan Key Laboratory of Cyberspace Situation Awareness, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6487-379X","authenticated-orcid":true,"given":"Chunfang","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhengzhou Science and Technology Institute, Zhengzhou 450001, China"},{"name":"Henan Key Laboratory of Cyberspace Situation Awareness, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Huanghe Science and Technology University, Zhengzhou 450000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2019.2923980"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2018.07.008"},{"issue":"3","key":"3","first-page":"541","article-title":"Reversible natural language watermarking using synonym substitution and arithmetic coding","volume":"55","author":"L. 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