OcrV1, Hal, Checkpoint, bibRecord, 000010

Competition on Smartphone Document Capture and OCR (SmartDoc)

Identifieur interne : 000010 ( Hal/Checkpoint ); précédent : 000009; suivant : 000011

Competition on Smartphone Document Capture and OCR (SmartDoc)

Auteurs : Jean-Christophe Burie [France] ; Joseph Chazalon [France] ; Mickaël Coustaty [France] ; Sébastien Eskenazi [France] ; Muhammad Muzzamil Luqman [France] ; Mehri Maroua [France] ; Nibal Nayef [France] ; Jean-Marc Ogier [France] ; Sophea Prum [France] ; Marçal Rusi Ol [Espagne]

Source :

RBID : Hal:hal-01226168

English descriptors

mix :
- document analysis, mobile capture, smartphone OCR, smartphone document capture.

Abstract

Smartphones are enabling new ways of capture, hence arises the need for seamless and reliable acquisition and digitization of documents, in order to convert them to editable, searchable and a more human-readable format. Current state-of-the-art works lack databases and baseline benchmarks for digitizing mobile captured documents. We have organized a competition for mobile document capture and OCR in order to address this issue. The competition is structured into two independent challenges: smartphone document capture, and smartphone OCR. This report describes the datasets for both challengesalong with their ground truth, details the performance evaluation protocols which we used, and presents the final results of the participating methods.

Url:

https://hal.archives-ouvertes.fr/hal-01226168

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000033
to stream Hal, to step Curation: 000033

Links to Exploration step

Hal:hal-01226168

Le document en format XML

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<front><div type="abstract" xml:lang="en">Smartphones are enabling new ways of capture, hence arises the need for seamless and reliable acquisition and digitization of documents, in order to convert them to editable, searchable and a more human-readable format. Current state-of-the-art works lack databases and baseline benchmarks for digitizing mobile captured documents. We have organized a competition for mobile document capture and OCR in order to address this issue. The competition is structured into two independent challenges: smartphone document capture, and smartphone OCR. This report describes the datasets for both challengesalong with their ground truth, details the performance evaluation protocols which we used, and presents the final results of the participating methods.</div>
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<date type="whenReleased">2015-11-09 02:45:30</date>
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<abstract xml:lang="en">Smartphones are enabling new ways of capture, hence arises the need for seamless and reliable acquisition and digitization of documents, in order to convert them to editable, searchable and a more human-readable format. Current state-of-the-art works lack databases and baseline benchmarks for digitizing mobile captured documents. We have organized a competition for mobile document capture and OCR in order to address this issue. The competition is structured into two independent challenges: smartphone document capture, and smartphone OCR. This report describes the datasets for both challengesalong with their ground truth, details the performance evaluation protocols which we used, and presents the final results of the participating methods.</abstract>
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Competition on Smartphone Document Capture and OCR (SmartDoc)

Competition on Smartphone Document Capture and OCR (SmartDoc)

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