Predicting and Classifying User Identification Code System Based on Support Vector Machines  

作　　者：陈民枝 陈荣昌 梁倩华 陈同孝 

机构地区：[1]Graduate School of Computer Science and Information Technology, National Taichung Institute of Technology [2]Department of Logistics Engineering and Management, National Taichung Institute of Technology

出　　处：《Journal of Donghua University(English Edition)》2007年第2期280-283,共4页东华大学学报（英文版）

摘　　要：In digital fingerprinting, preventing piracy of images by colluders is an important and tedious issue. Each image will be embedded with a unique User IDentification （UID） code that is the fingerprint for tracking the authorized user. The proposed hiding scheme makes use of a random number generator to scramble two copies of a UID, which will then be hidden in the randomly selected medium frequency coefficients of the host image. The linear support vector machine （SVM） will be used to train classifications by calculating the normalized correlation （NC） for the 2class UID codes. The trained classifications will be the models used for identifying unreadable UID codes. Experimental results showed that the success of predicting the unreadable UID codes can be increased by applying SVM. The proposed scheme can be used to provide protections to intellectual property rights of digital images aad to keep track of users to prevent collaborative piracies.In digital fingerprinting, preventing piracy of images by colluders is an important and tedious issue. Each image will be embedded with a unique User IDentification (UID) code that is the fingerprint for tracking the authorized user. The proposed hiding scheme makes use of a random number generator to scramble two copies of a UID, which will then be hidden in the randomly selected medium frequency coefficients of the host image. The linear support vector machine (SVM) will be used to train classifications by calculating the normalized correlation (NC) for the 2-class UID codes. The trained classifications will be the models used for identifying unreadable UID codes. Experimental results showed that the success of predicting the unreadable UID codes can be increased by applying SVM. The proposed scheme can be used to provide protections to intellectual property rights of digital images and to keep track of users to prevent collaborative piracies.

关 键 词：WATERMARK Support Vector Machines （ SVMs ）User IDentification （UID） code COLLUSION 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]