This paper aims at comparing robustness of local features for camera-based document image retrieval and spotting system. We present a literature review of the state of the art of local features extraction that includes keypoint detectors and keypoint descriptors. We also present a dataset and evaluation protocol for camera-based document image retrieval and spotting systems. This dataset is composed of three subparts: The first dataset represents the images with textual content only; the second dataset represents images with graphical content mainly; the third dataset contains text plus graphical elements. Along with the datasets, we present the protocol that describes measurements to evaluate the accuracy and processing time of camera-based document image retrieval and spotting systems. The latter is employed for presenting a detailed evaluation of local features from the literature.

中文翻译：

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基于照相机的文档图像检索和定位的本地功能比较

本文旨在比较基于相机的文档图像检索和定位系统的局部特征的鲁棒性。我们目前对包括关键点检测器和关键点描述符的局部特征提取技术进行了文献综述。我们还为基于照相机的文档图像检索和定位系统提出了一个数据集和评估协议。该数据集由三个子部分组成：第一个数据集仅表示具有文本内容的图像；第二个数据集仅表示文本内容。第二数据集主要表示具有图形内容的图像；第三个数据集包含文本和图形元素。连同数据集一起，我们提出了描述测量的协议，以评估基于照相机的文档图像检索和定位系统的准确性和处理时间。