{"title":"基于形状的水平集复制移动伪造检测","authors":"K. Sudhakar, V. Sandeep, S. Kulkarni","doi":"10.1109/ICSIP.2014.40","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method to Detect Copy Move Forgery using shape signatures derived from distance map. The method is simple, fast, robust, efficient as compared to traditional approaches and is invariant to scale, rotation and aspect ratio.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Shape Based Copy Move Forgery Detection Using Level Set Approach\",\"authors\":\"K. Sudhakar, V. Sandeep, S. Kulkarni\",\"doi\":\"10.1109/ICSIP.2014.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method to Detect Copy Move Forgery using shape signatures derived from distance map. The method is simple, fast, robust, efficient as compared to traditional approaches and is invariant to scale, rotation and aspect ratio.\",\"PeriodicalId\":111591,\"journal\":{\"name\":\"2014 Fifth International Conference on Signal and Image Processing\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Fifth International Conference on Signal and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIP.2014.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fifth International Conference on Signal and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIP.2014.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Shape Based Copy Move Forgery Detection Using Level Set Approach
This paper proposes a new method to Detect Copy Move Forgery using shape signatures derived from distance map. The method is simple, fast, robust, efficient as compared to traditional approaches and is invariant to scale, rotation and aspect ratio.