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- Francisco Alvaro, Joan-Andreu Sánchez, José-Miguel Benedí
- Pattern Recognition Letters
- 2014

- Francisco Alvaro, Joan-Andreu Sánchez
- ICPR
- 2010

Automatic recognition of printed mathematical symbols is a fundamental problem for recognition of mathematical expressions. Several classification techniques has been previously used, but there are very few works that compare different classification techniques on the same database and with the same experimental conditions. In this work we have tested… (More)

- Francisco Alvaro, Francisco Cruz Fernandez, Joan-Andreu Sánchez, Oriol Ramos Terrades, José-Miguel Benedí
- Neurocomputing
- 2015

In this paper we define a bidimensional extension of Stochastic Context-Free Grammars for structure detection and segmentation of images of documents. Two sets of text classification features are used to perform an initial classification of each zone of the page. Then, the document segmentation is obtained as the most likely hypothesis according to a… (More)

- Francisco Alvaro, Richard Zanibbi
- ACM Symposium on Document Engineering
- 2013

We consider the difficult problem of classifying spatial relationships between symbols and subexpressions in handwritten mathematical expressions. We first improve existing geometric features based on bounding boxes and center points, normalizing them using the distance between the centers of the two symbols or subexpressions in question. We then propose a… (More)

In this work, a system for recognition of printed mathematical expressions has been developed. Hence, a statistical framework based on two-dimensional stochastic contextfree grammars has been defined. This formal framework allows to jointly tackle the segmentation, symbol recognition and structural analysis of a mathematical expression by computing its most… (More)

- Francisco Alvaro, Joan-Andreu Sánchez, José-Miguel Benedí
- Pattern Recognition
- 2016

- Francisco Alvaro, Joan-Andreu Sánchez, José-Miguel Bened́ı
- 2011

Mathematical expression recognition is an active research field that is related to document image analysis and typesetting. Several approaches have been proposed to tackle this problem, and automatic methods for performance evaluation are required. Mathematical expressions are usually represented as a coded string like LTEX or MathML for evaluation purpose.… (More)