{"title":"Encrypted Image Retrieval Method using SIFT and ORB in Cloud","authors":"K. S. Bel, I. Shatheesh Sam","doi":"10.1109/ICSSS49621.2020.9202374","DOIUrl":null,"url":null,"abstract":"With the increasing development of image retrieval techniques, we proposes an encryption based retrieval of images by the use of local image information SIFT and ORB in the cloud environment. In this encrypted image retrieval work, to extract features of an image by using SIFT, and ORB. To generate the protected index on the features Random Projection with min-hash algorithm is proposed. For preserving the privacy, encrypting the images by using position scrambling method. This proposed method outperformed other methods with the precision of 93%.","PeriodicalId":286407,"journal":{"name":"2020 7th International Conference on Smart Structures and Systems (ICSSS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Smart Structures and Systems (ICSSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSS49621.2020.9202374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
With the increasing development of image retrieval techniques, we proposes an encryption based retrieval of images by the use of local image information SIFT and ORB in the cloud environment. In this encrypted image retrieval work, to extract features of an image by using SIFT, and ORB. To generate the protected index on the features Random Projection with min-hash algorithm is proposed. For preserving the privacy, encrypting the images by using position scrambling method. This proposed method outperformed other methods with the precision of 93%.