Autonomous Document Cleaning--A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts

We study the task of cleaning scanned text documents that are strongly corrupted by dirt such as manual line strokes, spilled ink, etc. We aim at autonomously removing such corruptions from a single letter-size page based only on the information the page contains. Our approach first learns character...

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Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 36(2014), 10 vom: 29. Okt., Seite 1950-62
Auteur principal: Dai, Zhenwen (Auteur)
Autres auteurs: Lücke, Jörg
Format: Article en ligne
Langue:English
Publié: 2014
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article Research Support, Non-U.S. Gov't