Feature-Based Forensic Camera Model Identification
Feature-Based Forensic Camera Model Identification
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DOI：
10.1007/978-3-642-31971-6_3
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发表时间：
2012
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通讯作者：
Thomas Gloe
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文献类型：
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作者：
Thomas Gloe
用于相机型号识别的最先进的数字取证技术将注意力集中在不同的特征集上，以将图像分配给所使用的源模型。本文是对已有工作的补充，通过使用26个相机模型和74个设备的大集合对已知特征集进行综合评估。我们使用扩展的颜色特征集获得了最高的准确率，并提供了几个详细的实验来验证这些特征在相机型号之间而不是在设备之间进行区分的能力。通过对16,000多幅图像的分析，我们对1)训练所需的图像和设备的数量，2)相机型号的数量和相机设置对检测结果的影响，以及3)当不是所有有问题的型号都可用或甚至是已知的情况下处理未知相机型号的可能性进行了综合评估。本文中的所有实验都表明：基于特征的法医相机型号识别在实践中是可行的，并且提供了可靠的结果，即使被调查的每个相机型号只有一个设备可供法医调查员使用。
State-of-the-art digital forensic techniques for camera model identification draw attention on different sets of features to assign an image to the employed source model. This paper complements existing work, by a comprehensive evaluation of known feature sets employing a large set of 26 camera models with altogether 74 devices. We achieved the highest accuracies using the extended colour feature set and present several detail experiments to validate the ability of the features to separate between camera models and not between devices. Analysing more than 16,000 images, we present a comprehensive evaluation on 1) the number of required images and devices for training, 2) the influence of the number of camera models and camera settings on the detection results and 3) possibilities to handle unknown camera models when not all models coming into question are available or are even known. All experiments in this paper suggest: feature-based forensic camera model identification works in practice and provides reliable results even if only one device for each camera model under investigation is available to the forensic investigator.