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Dataset . 2015
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ZENODO
Dataset . 2015
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2015
License: CC BY
Data sources: Datacite
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ICDAR2015 competition on smartphone document capture and OCR (SmartDoc) - Challenge 2

Authors: Burie, Jean-Christophe; Chazalon, Joseph; Coustaty, Mickael; Eskenazi, Sebastien; Luqman, Muhammad Muzzamil; Mehri, Maroua; Nayef, Nibal; +3 Authors

ICDAR2015 competition on smartphone document capture and OCR (SmartDoc) - Challenge 2

Abstract

ICDAR2015 competition on smartphone document capture and OCR (SmartDoc) Challenge 2: MOBILE OCR COMPETITION The goal of the competition is to extract the textual content from document images which are captured by mobile phones. The images are taken under varying conditions to provide a challenging input. The dataset was prepared for ICDAR2015-SmartDoc competition. For more details about the dataset please visit the competition's website: https://sites.google.com/site/icdar15smartdoc/home http://smartdoc.univ-lr.fr You may also refer to the following paper for more details on the ICDAR2015-SmartDoc competition: Jean-Christophe Burie, Joseph Chazalon, Mickaël Coustaty, Sébastien Eskenazi, Muhammad Muzzamil Luqman, Maroua Mehri, Nibal Nayef, Jean-Marc OGIER, Sophea Prum and Marçal Rusinol: “ICDAR2015 Competition on Smartphone Document Capture and OCR (SmartDoc)”, In 13th International Conference on Document Analysis and Recognition (ICDAR), 2015. If you use this dataset, please send us a short email at <icdar.smartdoc (at) gmail.com> to tell us why it was useful to you, and whether you have results or publications we can reference on our website. Thank you!

{"references": ["https://doi.org/10.1109/ICDAR.2015.7333943"]}

Keywords

CBDAR, OCR, Optical Character Recognition, DIA, Camera-based document analysis and recognition, Document Image Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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173