Extracting Precise Data on the Mathematical Content of PDF Documents
Baker, Josef B.; Sexton, Alan P.; Sorge, Volker
- Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008, Publisher: Masaryk University(Brno), page 75-79
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topBaker, Josef B., Sexton, Alan P., and Sorge, Volker. "Extracting Precise Data on the Mathematical Content of PDF Documents." Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008. Brno: Masaryk University, 2008. 75-79. <http://eudml.org/doc/221546>.
@inProceedings{Baker2008,
abstract = {As more and more scientific documents become available in PDF format, their automatic analysis becomes increasingly important. We present a procedure that extracts mathematical symbols from PDF documents by examining both the original PDF file and a rasterized version. This provides more precise information than is available either directly from the PDF file or by traditional character recognition techniques. The data can then be used to improve mathematical parsing methods that transform the mathematics into richer formats such as MathML.},
author = {Baker, Josef B., Sexton, Alan P., Sorge, Volker},
booktitle = {Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008},
keywords = {document analysis},
location = {Brno},
pages = {75-79},
publisher = {Masaryk University},
title = {Extracting Precise Data on the Mathematical Content of PDF Documents},
url = {http://eudml.org/doc/221546},
year = {2008},
}
TY - CLSWK
AU - Baker, Josef B.
AU - Sexton, Alan P.
AU - Sorge, Volker
TI - Extracting Precise Data on the Mathematical Content of PDF Documents
T2 - Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008
PY - 2008
CY - Brno
PB - Masaryk University
SP - 75
EP - 79
AB - As more and more scientific documents become available in PDF format, their automatic analysis becomes increasingly important. We present a procedure that extracts mathematical symbols from PDF documents by examining both the original PDF file and a rasterized version. This provides more precise information than is available either directly from the PDF file or by traditional character recognition techniques. The data can then be used to improve mathematical parsing methods that transform the mathematics into richer formats such as MathML.
KW - document analysis
UR - http://eudml.org/doc/221546
ER -
References
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- Raja, A., Rayner, M., Sexton, A., Sorge, V., Towards a parser for mathematical formula recognition, . In Proc. of MKM 2006, LNCS 4108. pp. 139–151, Springer, 2006. (2006) Zbl1188.68284
- Grbavec, A., Blostein, D., Mathematics recognition using graph rewriting, . In Proc. of ICDAR ’95, pp. 417–421, 1995. (1995)
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