Images are acquired and stored digitally these days. Image forensics is a science which is concerned with revealing the underlying facts about an image. The universal approaches provide a general strategy to perform image forensics irrespective of the type of manipulation. Identification of acquisition device is one of the significant universal approach. This review paper aims at analyzing the different types of device identification approaches. All research papers aiming camera and mobile detection using image analysis were acquired and then finally 60 most suitable papers were included. Out of these, 32 states of art papers were critically analyzed and compared. As every research starts with the literature review such analysis is significant. This is the first attempt for source camera and source mobile detection evaluation as per the authors knowledge. The authors have concluded that the Accuracy rate of Lens Aberration based detection techniques deteriorates when the different source camera from same brand were under consideration. The performance of color filter array Based Detection techniques dropped when the post processing operation were used on images. These techniques were vulnerable to high compression rate for JPEG images.

这些天来，图像已被获取并以数字方式存储。图像取证是一门涉及揭示图像基本事实的科学。通用方法为执行图像取证提供了一种通用策略，而与操作类型无关。识别采集设备是重要的通用方法之一。本文旨在分析设备识别方法的不同类型。获得了所有针对相机和使用图像分析进行移动检测的研究论文，最后纳入了60篇最合适的论文。其中，严格分析和比较了32种最新技术论文。由于每项研究都始于文献综述，所以这种分析意义重大。根据作者的知识，这是源相机和源移动检测评估的首次尝试。作者得出的结论是，当考虑使用同一品牌的不同源相机时，基于镜头像差的检测技术的准确率会下降。当对图像使用后处理操作时，基于滤色器阵列的检测技术的性能下降。这些技术容易受到JPEG图像高压缩率的影响。