{"title":"基于LSB-RSA和3-DWT算法的ATM交易指纹水印与隐写","authors":"Mayank Garg, Shashikant Gupta, P. Khatri","doi":"10.1109/ICCN.2015.48","DOIUrl":null,"url":null,"abstract":"Nowadays, with technological advancement, it is simple for miscreants produce unlawful multimedia information duplicates. Different methods for copyright insurance of free information are being produced every day. Digital watermarking is a procedure, where computerized inserting of the copyright data/watermark into the information to be ensured. The two different major methods for doing as such are the robust transform domain and spatial domain. In this paper combination of fingerprint verification methods with watermarking technology to provide copyright protection and authentication of digital images is proposed. In proposing technique for better accuracy combine DWT with RSA and LSB. The proposed approach gives perfect results from previous work. In this study, we calculate false matching ratio (FMR), false acceptance ratio (FAR), mean square error (MSE), accuracy and peak signal noise ratio (PSNR). The experimental outcomes for FMR and FRR are 0.01% and 9.99%. PSNR value is varying from 70-95%. MSE lies between 0 and 7. Also, we applied attacks on watermarked image (like noise and rotate). Also, calculate accuracy of each image and it is lie between 60-75%.","PeriodicalId":431743,"journal":{"name":"2015 International Conference on Communication Networks (ICCN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fingerprint watermarking and steganography for ATM transaction using LSB-RSA and 3-DWT algorithm\",\"authors\":\"Mayank Garg, Shashikant Gupta, P. Khatri\",\"doi\":\"10.1109/ICCN.2015.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, with technological advancement, it is simple for miscreants produce unlawful multimedia information duplicates. Different methods for copyright insurance of free information are being produced every day. Digital watermarking is a procedure, where computerized inserting of the copyright data/watermark into the information to be ensured. The two different major methods for doing as such are the robust transform domain and spatial domain. In this paper combination of fingerprint verification methods with watermarking technology to provide copyright protection and authentication of digital images is proposed. In proposing technique for better accuracy combine DWT with RSA and LSB. The proposed approach gives perfect results from previous work. In this study, we calculate false matching ratio (FMR), false acceptance ratio (FAR), mean square error (MSE), accuracy and peak signal noise ratio (PSNR). The experimental outcomes for FMR and FRR are 0.01% and 9.99%. PSNR value is varying from 70-95%. MSE lies between 0 and 7. Also, we applied attacks on watermarked image (like noise and rotate). Also, calculate accuracy of each image and it is lie between 60-75%.\",\"PeriodicalId\":431743,\"journal\":{\"name\":\"2015 International Conference on Communication Networks (ICCN)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Communication Networks (ICCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCN.2015.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Communication Networks (ICCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCN.2015.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fingerprint watermarking and steganography for ATM transaction using LSB-RSA and 3-DWT algorithm
Nowadays, with technological advancement, it is simple for miscreants produce unlawful multimedia information duplicates. Different methods for copyright insurance of free information are being produced every day. Digital watermarking is a procedure, where computerized inserting of the copyright data/watermark into the information to be ensured. The two different major methods for doing as such are the robust transform domain and spatial domain. In this paper combination of fingerprint verification methods with watermarking technology to provide copyright protection and authentication of digital images is proposed. In proposing technique for better accuracy combine DWT with RSA and LSB. The proposed approach gives perfect results from previous work. In this study, we calculate false matching ratio (FMR), false acceptance ratio (FAR), mean square error (MSE), accuracy and peak signal noise ratio (PSNR). The experimental outcomes for FMR and FRR are 0.01% and 9.99%. PSNR value is varying from 70-95%. MSE lies between 0 and 7. Also, we applied attacks on watermarked image (like noise and rotate). Also, calculate accuracy of each image and it is lie between 60-75%.