Mathematical expression recognition: a survey

By Kam-Fai Chan, Dit-Yan Yeung. International Journal on Document Analysis and Recognition, 2000

328 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a6112762f45f6b277a4d084561bc3bb498b562ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexander M. Rush
2. Yuntian Deng
3. Jeffrey Ling
4. Dorothea Blostein
5. Richard Zanibbi
6. Anssi Kanervisto
7. Graham Neubig
8. Mirella Lapata

In Computational Theory and Mathematics

1. Jeffrey Ling
2. Alexander M. Rush

In Computer Vision and Pattern Recognition

1. Alexander M. Rush
2. Yuntian Deng
3. Dorothea Blostein
4. Richard Zanibbi
5. Jeffrey Ling
6. Anssi Kanervisto
7. Mirella Lapata
8. Graham Neubig

Citations in the corpus

• Recognition and retrieval of mathematical expressions (2011, background): “Research on the recognition of math notation began in the 1960’s [5, 6, 31, 98], and a number of surveys are available [19, 28, 52, 145].”
• Image-to-Markup Generation with Coarse-to-Fine Attention (2016, background): “The primary target for this research is OCR for mathematical expressions, and how to handle presentational aspects such as sub and super-script notation, special symbols, and nested fractions (Be-laid & Haton, 1984; Chan & Yeung, 2000).”