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- W2047334181 abstract "Recognizing mathematical expressions in PDF documents is a new and important field in document analysis. It is quite different from extracting mathematical expressions in image-based documents. In this paper, we propose a novel method by combining rule-based and learning-based methods to detect both isolated and embedded mathematical expressions in PDF documents. Moreover, various features of formulas, including geometric layout, character and context content, are used to adapt to a wide range of formula types. Experimental results show satisfactory performance of the proposed method. Furthermore, the method has been successfully incorporated into a commercial software package for large-scale Chinese e-Book production." @default.
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- W2047334181 date "2011-09-01" @default.
- W2047334181 modified "2023-09-23" @default.
- W2047334181 title "Mathematical Formula Identification in PDF Documents" @default.
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- W2047334181 doi "https://doi.org/10.1109/icdar.2011.285" @default.
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