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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 ICDAR 2019 Competition on Post-OCR Text Correction Rigaud, Christophe; Doucet, Antoine; Coustaty, Mickaël... In: 15th International Conference on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-02304334 ; 15th International Conference on Document Analysis and Recognition, Sep 2019, Sydney, Australia. pp.1588-1593 (2019) BASE Show details 2 Text-independent speech balloon segmentation for comics and manga ; Segmentation des bulles de bandes dessinées et manga indépendante du texte Rigaud, Christophe; Burie, Jean-Christophe; Ogier, Jean-Marc In: Graphic Recognition. Current Trends and Challenges 11th International Workshop, GREC 2015, Nancy, France, August 22–23, 2015, Revised Selected Papers ; https://hal.archives-ouvertes.fr/hal-01719513 ; Graphic Recognition. Current Trends and Challenges 11th International Workshop, GREC 2015, Nancy, France, August 22–23, 2015, Revised Selected Papers, 2017 (2017) BASE Show details 3 Segmentation-free speech text recognition for comic books ; Reconnaissance du texte de bandes dessinées sans segmentation Rigaud, Christophe; Burie, Jean-Christophe; Ogier, Jean-Marc In: 2nd International Workshop on coMics Analysis, Processing, and Understanding (MANPU) ; https://hal.archives-ouvertes.fr/hal-01719619 ; 2nd International Workshop on coMics Analysis, Processing, and Understanding (MANPU), Nov 2017, Kyoto, Japan. ⟨10.1109/ICDAR.2017.288⟩ (2017) Abstract: International audience ; Speech text in comic books is written in a particular manner by the scriptwriter which raises unusual challenges for text recognition. We first detail these challenges and present different approaches to solve them. We compare the performances of pre-trained OCR and segmentation-free approach for speech text of comic books written in Latin script. We demonstrate that few good quality pre-trained OCR output samples, associated with other unlabeled data with the same writing style, can feed a segmentation-free OCR and improve text recognition. Thanks to the help of the lexi-cality measure that automatically accept or reject the pre-trained OCR output as pseudo ground truth for a subsequent segmentation-free OCR training and recognition. Keyword: [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; comic book image analysis; pseudo ground truth; segmentation-free OCR; Text recognition URL: https://doi.org/10.1109/ICDAR.2017.288 https://hal.archives-ouvertes.fr/hal-01719619/file/segmentation-free-speech.pdf https://hal.archives-ouvertes.fr/hal-01719619/document https://hal.archives-ouvertes.fr/hal-01719619 BASE Hide details 4 ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT Nayef, Nibal; Yin, Fei; Bizid, Imen... In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) ; https://hal.archives-ouvertes.fr/hal-02889922 ; 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.1454-1459, ⟨10.1109/ICDAR.2017.237⟩ (2017) BASE Show details

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