{"title":"鲁棒图像哈希的Fourier-Mellin变换","authors":"Supakorn Prungsinchai, F. Khelifi, A. Bouridane","doi":"10.1109/EST.2013.17","DOIUrl":null,"url":null,"abstract":"This paper proposes a new perceptual image hashing technique based on the Fourier-Mellin Transform (FMT). The idea consists of exploiting the invariance property of the FMT to extract robust hashes using overlapping blocks in the transform domain. To secure the system, two secrete keys are used in different stages. The results show good robustness against signal processing operations and geometric attacks including translation and rotation and demonstrate the superiority of the proposed technique over related transform based hashing techniques.","PeriodicalId":213735,"journal":{"name":"2013 Fourth International Conference on Emerging Security Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Fourier-Mellin transform for Robust Image Hashing\",\"authors\":\"Supakorn Prungsinchai, F. Khelifi, A. Bouridane\",\"doi\":\"10.1109/EST.2013.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new perceptual image hashing technique based on the Fourier-Mellin Transform (FMT). The idea consists of exploiting the invariance property of the FMT to extract robust hashes using overlapping blocks in the transform domain. To secure the system, two secrete keys are used in different stages. The results show good robustness against signal processing operations and geometric attacks including translation and rotation and demonstrate the superiority of the proposed technique over related transform based hashing techniques.\",\"PeriodicalId\":213735,\"journal\":{\"name\":\"2013 Fourth International Conference on Emerging Security Technologies\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Emerging Security Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EST.2013.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Emerging Security Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2013.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a new perceptual image hashing technique based on the Fourier-Mellin Transform (FMT). The idea consists of exploiting the invariance property of the FMT to extract robust hashes using overlapping blocks in the transform domain. To secure the system, two secrete keys are used in different stages. The results show good robustness against signal processing operations and geometric attacks including translation and rotation and demonstrate the superiority of the proposed technique over related transform based hashing techniques.