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Joan Andreu Sánchez

Researcher at Polytechnic University of Valencia

Publications -  111
Citations -  1474

Joan Andreu Sánchez is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Language model & Computer science. The author has an hindex of 19, co-authored 102 publications receiving 1172 citations.

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Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models

TL;DR: In this article, a formal model for the recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models is described.
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The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

TL;DR: A new database is presented, compiled from a marriage license books collection, to support research in automatic handwriting recognition for historical documents containing social records, and about the capability of state-of-the-art handwritten text recognition systems, when applied to the presented database.
Proceedings ArticleDOI

ICFHR2014 Competition on Handwritten Text Recognition on Transcriptorium Datasets (HTRtS)

TL;DR: A contest on Handwritten Text Recognition organised in the context of the ICFHR 2014 conference is described and two tracks with increased freedom on the use of training data were proposed and three research groups participated in these two tracks.
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An integrated grammar-based approach for mathematical expression recognition

TL;DR: The statistical framework of a model based on two-dimensional grammars and its associated parsing algorithm is defined and a system that implements this approach is developed and results on the large public dataset of the CROHME international competition are reported.
Proceedings ArticleDOI

ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset

TL;DR: This competition aims to bring together researchers working on off-line HTR and provide them a suitable benchmark to compare their techniques on the task of transcribing typical historical handwritten documents.