Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2005.54
Title: Associating text and graphics for scientific chart understanding
Authors: Huang, W. 
Tan, C.L. 
Leow, W.K. 
Issue Date: 2005
Source: Huang, W.,Tan, C.L.,Leow, W.K. (2005). Associating text and graphics for scientific chart understanding. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005 : 580-584. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2005.54
Abstract: This paper presents our recent work that aims at associating the recognition results of textual and graphical information contained in the scientific chart images. Text components are first located in the input image and then recognized using OCR. On the other hand, the graphical objects are segmented and form high level symbols. Both logical and semantic correspondence between text and graphical symbols are identified. The association of text and graphics allows us to capture the semantic meaning carried by scientific chart images in a more complete way. The result of scientific chart image understanding is presented using XML documents. © 2005 IEEE.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/41051
ISBN: 0769524206
ISSN: 15205363
DOI: 10.1109/ICDAR.2005.54
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