Adaptive Detection of Missed Text Areas in OCR Outputs: Application to the Automatic Assessment of OCR quality in Mass Digitization projects
Identifieur interne : 000152 ( Main/Exploration ); précédent : 000151; suivant : 000153Adaptive Detection of Missed Text Areas in OCR Outputs: Application to the Automatic Assessment of OCR quality in Mass Digitization projects
Auteurs : Ahmed Ben Salah [France] ; Nicolas Ragot [France] ; Thierry Paquet [France]Source :
Descripteurs français
Abstract
The French National Library (BnF ) has launched many mass digitization projects in order to give access to its collection. The indexation of digital documents on Gallica (digital library of the BnF) is done through their textual content obtained thanks to service providers that use Optical Character Recognition softwares (OCR). OCR softwares have become increasingly complex systems composed of several subsystems dedicated to the analysis and the recognition of the elements in a page. However, the reliability of these systems is always an issue at stake. Indeed, in some cases, we can nd errors in OCR outputs that occur because of an accumulation of several errors at di erent levels in the OCR process. One of the frequent errors in OCR outputs is the missed text components. The presence of such errors may lead to severe defects in digital libraries. In this paper, we investigate the detection of missed text components to control the OCR results from the collections of the French National Library. Our veri cation approach uses local information inside the pages based on Radon transform descriptors and Local Binary Patterns descriptors (LBP) coupled with OCR results to control their consistency. The experimental results show that our method detects 84.15% of the missed textual components, by comparing the OCR ALTO les outputs (produced by the service providers) to the images of the document.
Url:
DOI: 10.1117/12.2003733
Affiliations:
- France
- Centre-Val de Loire, Région Bourgogne, Région Centre
- Rouen, Tours
- Centre Val de Loire Université, Université François-Rabelais de Tours, Université de Rouen
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Le document en format XML
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The indexation of digital documents on Gallica (digital library of the BnF) is done through their textual content obtained thanks to service providers that use Optical Character Recognition softwares (OCR). OCR softwares have become increasingly complex systems composed of several subsystems dedicated to the analysis and the recognition of the elements in a page. However, the reliability of these systems is always an issue at stake. Indeed, in some cases, we can nd errors in OCR outputs that occur because of an accumulation of several errors at di erent levels in the OCR process. One of the frequent errors in OCR outputs is the missed text components. The presence of such errors may lead to severe defects in digital libraries. In this paper, we investigate the detection of missed text components to control the OCR results from the collections of the French National Library. Our veri cation approach uses local information inside the pages based on Radon transform descriptors and Local Binary Patterns descriptors (LBP) coupled with OCR results to control their consistency. The experimental results show that our method detects 84.15% of the missed textual components, by comparing the OCR ALTO les outputs (produced by the service providers) to the images of the document.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Centre-Val de Loire</li><li>Région Bourgogne</li><li>Région Centre</li></region><settlement><li>Rouen</li><li>Tours</li></settlement><orgName><li>Centre Val de Loire Université</li><li>Université François-Rabelais de Tours</li><li>Université de Rouen</li></orgName></list><tree><country name="France"><region name="Région Bourgogne"><name sortKey="Ben Salah, Ahmed" sort="Ben Salah, Ahmed" uniqKey="Ben Salah A" first="Ahmed" last="Ben Salah">Ahmed Ben Salah</name></region><name sortKey="Paquet, Thierry" sort="Paquet, Thierry" uniqKey="Paquet T" first="Thierry" last="Paquet">Thierry Paquet</name><name sortKey="Ragot, Nicolas" sort="Ragot, Nicolas" uniqKey="Ragot N" first="Nicolas" last="Ragot">Nicolas Ragot</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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