论文标题
使用机器学习的法医扫描仪识别
Forensic Scanner Identification Using Machine Learning
论文作者
论文摘要
由于图像编辑工具的可用性和功能增加，许多法医技术（例如数字图像身份验证），源识别和篡改检测对于法医图像分析很重要。在本文中，我们描述了一个基于机器学习的系统，以解决扫描仪设备的法医分析。所提出的系统使用深度学习来自动从各种扫描图像中学习固有的特征。我们的实验结果表明，对于源扫描仪识别，可以实现高精度。所提出的系统还可以生成一个可靠性图，该映射指示扫描图像中的操纵区域。
Due to the increasing availability and functionality of image editing tools, many forensic techniques such as digital image authentication, source identification and tamper detection are important for forensic image analysis. In this paper, we describe a machine learning based system to address the forensic analysis of scanner devices. The proposed system uses deep-learning to automatically learn the intrinsic features from various scanned images. Our experimental results show that high accuracy can be achieved for source scanner identification. The proposed system can also generate a reliability map that indicates the manipulated regions in an scanned image.
