A comparison of local features for camera-based document image retrieval and spotting

摘要

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.