Department of EECS, Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, Republic of Korea;
School of Computer and Software Engineering, Kumoh National Institute of Technology, Yangho-dong, Gumi, Gyeongbuk, Republic of Korea;
Anti-counterfeit Center, Technology Research Institute, Korea Minting Security Printing Corporation, 35 Gajeong-dong, Yuseong-gu, Daejeon, Republic of Korea;
Department of EECS, Korea Advanced Institute of Science and Technology, Guseong-dong, Yuseong-gu, Daejeon, Republic of Korea;
digital forensics; image quality measures; SVM classifier; printer identification; forgery detection;
机译:使用SVM分类器通过照明公开数字伪造检测
机译:使用SVM分类器通过照明公开数字伪造检测
机译:使用SIFT和PCA分类器对全色图像进行图像伪造检测
机译:用SVM分类器和图像质量措施文件伪造伪造检测
机译:用于癫痫发作检测的线性SVM分类器的硬件实现
机译:利用纹理特征和SVM分类器在MR图像中进行脑肿瘤检测的有效方法
机译:基于sVm分类器的文档伪造检测和图像质量测量