Seshat is an open-source system for recognizing handwritten mathematical expressions. Given a sample represented as a sequence of strokes, the parser is able to convert it to LaTeX or other formats like InkML or MathML. You can see an example of application of this parser in
where seshat is the underlying engine.
This parser has been developed by Francisco Álvaro as part of his PhD thesis while he was a member of the [PRHLT research center] 1 at [Universitat Politècnica de València] 2.
Seshat represents a state-of-the-art system that has participated in several [international competitions] 3, and it was awarded the best system trained on the competition dataset in:
- Mouchère H., Viard-Gaudin C., Zanibbi R., Garain U. ICFHR 2014 Competition on Recognition of On-line Handwritten Mathematical Expressions (CROHME 2014). International Conference on Frontiers in Handwriting Recognition (ICFHR), Crete Island, Greece (2014)
The math expression recognition model that seshat implements is described in:
- Francisco Álvaro, Joan-Andreu Sánchez and José-Miguel Benedí. An Integrated Grammar-based Approach for Mathematical Expression Recognition. Pattern Recognition, pp. 135-147, 2016
and it is the main part of my PhD thesis.
- Francisco Álvaro (advisors: Joan-Andreu Sánchez and José-Miguel Benedí). Mathematical Expression Recognition based on Probabilistic Grammars. Doctor of Philosophy in Computer Science, Universitat Politècnica de València, 2015.
Seshat is released under the [GNU General Public License version 3.0 (GPLv3)] 5
Seshat is written in C++ and should work on any platform, although it has only been tested in Linux.
This software integrates the open-source [RNNLIB library] 4 for symbol classification. The code of RNNLIB has been slightly modified and directly integrated in seshat, thus, it is not necessary to download it. However, it requires the [Boost C++ Libraries] 6 (headers only).
Finally, the parser accepts input files in two formats: InkML and SCGINK. There is a example of each format in folder "SampleMathExps". Seshat uses the [Xerces-c library] 7 for parsing InkML in C++.
Seshat is written in C++ and it only requires Makefile and g++ to compile it. Once the required tools and libraries are available, you can proceed with the installation of seshat as follows:
-
Obtain the package using git:
$ git clone https://github.com/falvaro/seshat.gitOr [download it as a zip file] 8
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Go to the directory containing the source code.
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If the include files of boost libraries are not in the path, add it to the FLAGS variable in the file Makefile ("-I/path/to/boost/").
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Compile seshat
$ make
As a result, you will have the executable file "seshat" ready to recognize handwritten math expressions.
Run seshat without arguments and it will display the command-line interface:
$ Usage: ./seshat -c config -i input [-o output] [-r render.pgm]
-c config: set the configuration file
-i input: set the input math expression file
-o output: save recognized expression to 'output' file (InkML format)
-r render: save in 'render' the image representing the input expression (PGM format)
-d graph: save in 'graph' the description of the recognized tree (DOT format)
There are two example math expressions in folder "SampleMathExps". The
following command will recognize the expression (x+y)^2 encoded in
"exp.scgink"
$ ./seshat -c Config/CONFIG -i SampleMathExps/exp.scgink -o out.inkml -r render.pgm -d out.dot
This command outputs several information through the standard output, where the last line will provide the LaTeX string of the recognized math expression. Furthermore:
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An image representation of the input strokes will be rendered in "render.pgm".
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The InkML file of the recognized math expression will be saved in "out.inkml".
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The derivation tree of the expression provided as a graph in DOT format will be saved in "out.dot". The representation of the graph in, for example, postscript format can be obtained as follows
$ dot -o out.ps out.dot -Tps
It should be noted that only options "-c" and "-i" are mandatory.
If you use seshat for your research, please cite the following reference:
@article{AlvaroPR16,
title = "An integrated grammar-based approach for mathematical expression recognition",
author = "Francisco \'Alvaro and Joan-Andreu S\'anchez and Jos\'e-Miguel Bened\'{\i}",
journal = "Pattern Recognition",
volume = "51",
pages = "135 - 147",
year = "2016",
issn = "0031-3203"
}
Seshat was the [Goddess of writing] 9 according to Egyptian mythology, so I liked this name for a handwritten math expression parser. I found out about seshat because my colleague of the PRHLT [Daniel Ortiz-Martínez] 10 developed [Thot] 11, a great open-source toolkit for statistical machine translation; and Thot is the [God of Knowledge] 12 according to Egyptian mythology.