Table detection is an essential step in many document analysis systems. Tabular data are a pivotal form of information representation that can organize data in a conventional structure for comfortable and quick information retrieval and comparison. Detection of table structures in PDF files or images is a challenging task because of the variability of table layouts, and sometimes the tabular structures’ similarities with non-tabular elements like charts, plots, etc. In this work, we have presented a table detection method using a geometric analysis of the table cell cores that represents the table cell texts. The proposed method works by analyzing the text gap information, and hence it can detect the table cell cores, irrespective of the presence of the table boundary lines and cell-separating rule-lines. Experimentations have been done on various document images of complex structures from well-known datasets. The detection accuracies obtained by us corroborate the usefulness of the proposed method.
Sensor nodes in a wireless sensor network (WSN) are both energy-constrained and vulnerable to faults and disasters. Communication between the sensor nodes is generally hop-by-hop, and the nodes are distributed throughout the area to be covered. Broadcast-based routing protocols are not preferable in sensor networks since broadcasting is considered costly in terms of battery power consumption. In this paper, a digital quasistraight line segment- (DQSS-) based approach is employed for the detection of quasistraight line segments, i.e., for quasistraight path finding between WSN sensors arranged in a square grid. Comparative results show that the method is comparable with the best-known straight line finding algorithm in terms of path lengths and computation time. Moreover, the proposed method is capable of avoiding dead nodes by updating DQSS parameters dynamically during path finding. Hence, the proposed method is promising to be used in WSN square grids as a quasistraight line routing protocol.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.