Text recognition in multimedia documents: a study of two neural-based OCRs using and avoiding character segmentation

Text embedded in multimedia documents represents an important semantic information that helps to automatically access the content. This paper proposes two neural-based optical character recognition (OCR) systems that handle the text recognition problem in different ways. The first approach segments...

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Veröffentlicht in:International journal on document analysis and recognition 2014-03, Vol.17 (1), p.19-31
Hauptverfasser: Elagouni, Khaoula, Garcia, Christophe, Mamalet, Franck, Sébillot, Pascale
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Sprache:eng
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