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|Title:||Locating charts from scanned document pages|
|Authors:||Huang, W. |
|Citation:||Huang, W.,Chew, L.T. (2007). Locating charts from scanned document pages. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 1 : 307-311. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2007.4378722|
|Abstract:||This paper presents our work on automatically locating charts from document pages, which is an important stage in our chart image recognition and understanding system currently being developed. To achieve this, there are two sub-goals to be reached: locating figure blocks in a given document image, and building a classifier to differentiate charts from nonchart figures. For the first sub-goal, besides traditional logical block labelling, relevant text blocks such as text descriptions and labels in a figure must be included in the located figure blocks to facilitate the interpretation processes in the following stages. For the second subgoal, we propose a set of simple statistical features for building the classifier. We tested our system with the entire collection of scanned journal pages in the University of Washington database I. The experimental results are discussed in this paper. © 2007 IEEE.|
|Source Title:||Proceedings of the International Conference on Document Analysis and Recognition, ICDAR|
|Appears in Collections:||Staff Publications|
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