X. Lu, The Pennsylvania State University, University Park, PA, USA
J. Wang, The Pennsylvania State University, University Park, PA, USA
P. Mitra, The Pennsylvania State University, University Park, PA, USA
C.L. Giles, The Pennsylvania State University, University Park, PA, USA
Two-dimensional (2-D) plots in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using plots. Although 2-D plots are easily understood by human users, current search engines rarely utilize the information contained in the plots to enhance the results returned in response to queries posed by end- users. We propose an automated algorithm for extracting information from line curves in 2-D plots. The extracted information can be stored in a database and indexed to answer end-user queries and enhance search results. We have collected 2-D plot images from a variety of resources and tested our extraction algorithms. Experimental evaluation has demonstrated that our method can produce results suitable for real world use.
Citation:
X. Lu, J. Wang, P. Mitra, C.L. Giles, "Automatic Extraction of Data from 2-D Plots in Documents," icdar, vol. 1, pp.188-192, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
PURCHASE ARTICLE: $19
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