A comparison of local features for camera-based document image retrieval and spotting
International Journal on Document Analysis and Recognition (IJDAR)(2019)
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.
更多查看译文
关键词
Camera-based document image analysis, recognition and retrieval,Keypoint detection,Keypoint extraction,Local feature,Document image analysis, recognition and understanding,Pattern recognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络