Automatic Transcription System for Nutritional Information Charts of Spanish Food Products

José Manuel Fuentes, Roberto Paredes, Elena Fulladosa, María del Mar Giró, Anna Claret

2022

Abstract

Labeling of food products contains key nutritional information, but it is often inaccessible or unclear to users. To alleviate this problem, the application of modern automatic transcription techniques to this field is studied in this paper. This presents a challenge, due to the structural difference of these charts with respect to the usual type of documents for which OCR systems are developed, and also because of the wide visual variability present in this type of labels. For these reasons, a series of algorithms and deep learning models have been developed and applied as pre-processing for the images and post-processing for the transcription obtained, in order to optimize and complement this automatic transcription. With this whole pipeline, we achieve to extract the nutritional information from the pictures in an efficient, complete, accurate and structured way.

Paper Citation

in Harvard Style

Fuentes J., Paredes R., Fulladosa E., Giró M. and Claret A. (2022). Automatic Transcription System for Nutritional Information Charts of Spanish Food Products. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 411-418. DOI: 10.5220/0010827600003124

in Bibtex Style

@conference{visapp22,
author={José Manuel Fuentes and Roberto Paredes and Elena Fulladosa and María del Mar Giró and Anna Claret},
title={Automatic Transcription System for Nutritional Information Charts of Spanish Food Products},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010827600003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Automatic Transcription System for Nutritional Information Charts of Spanish Food Products
SN - 978-989-758-555-5
AU - Fuentes J.
AU - Paredes R.
AU - Fulladosa E.
AU - Giró M.
AU - Claret A.
PY - 2022
SP - 411
EP - 418
DO - 10.5220/0010827600003124
PB - SciTePress