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Simple Search
Hits 1 – 17 of 17
1
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019
Nayef, Nibal
;
Liu, Cheng-Lin
;
Ogier, Jean-Marc
...
In: 2019 International Conference on Document Analysis and Recognition (ICDAR) ; https://hal.archives-ouvertes.fr/hal-02889909 ; 2019 International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia. pp.1582-1587, ⟨10.1109/ICDAR.2019.00254⟩ (2019)
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2
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019 ...
Nayef, Nibal
;
Patel, Yash
;
Busta, Michal
. - : arXiv, 2019
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3
Automatic Matching and Expansion of Abbreviated Phrases without Context
Artaud, Chloé
;
Doucet, Antoine
;
Poulain D'Andecy, Vincent
...
In: 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing2018) ; https://hal.archives-ouvertes.fr/hal-02316286 ; 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing2018), Mar 2018, Hanoi, Vietnam (2018)
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4
Knowledge Representation and Phonological Rules for the Automatic Transliteration of Balinese Script on Palm Leaf Manuscript
Antara Kesiman, Made Windu
;
Burie, Jean Christophe
;
Ogier, Jean Marc
...
In: ISSN: 1405-5546 ; EISSN: 2007-9737 ; Computación y sistemas ; https://hal.archives-ouvertes.fr/hal-02889822 ; Computación y sistemas, Instituto Politécnico Nacional IPN Centro de Investigación en Computación, 2018, 21 (4), ⟨10.13053/cys-21-4-2851⟩ (2018)
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5
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)
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6
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)
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7
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)
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8
Knowledge Representation and Phonological Rules for the Automatic Transliteration of Balinese Script on Palm Leaf Manuscript
Kesiman, Made Windu Antara
;
Burie, Jean-Christophe
;
Ogier, Jean-Marc
...
In: International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-02890040 ; International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2017, Budapest, Hungary (2017)
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9
Camera-based document image spotting system for complex linguistic maps
Dang, Quoc Bao
;
Coustaty, Mickaël
;
Luqman, Muhammad Muzzamil
...
In: IEEE SMC 2016 International Conference on Systems, Man, and Cybernetics ; https://hal.archives-ouvertes.fr/hal-02889927 ; IEEE SMC 2016 International Conference on Systems, Man, and Cybernetics, Oct 2016, Budapest, Hungary. pp.003246-003251, ⟨10.1109/SMC.2016.7844734⟩ (2016)
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10
MAD : une plateforme mobile pour l'annotation de document vers la classification
Duthil, Benjamin
;
Courboulay, Vincent
;
Coustaty, Mickaël
...
In: CORIA-CIFED 2014 ; https://hal.archives-ouvertes.fr/hal-01247976 ; CORIA-CIFED 2014, Mar 2014, Nancy, France. pp.223-238 (2014)
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11
MAD : une plateforme mobile pour l'annotation de document vers la classification. ...
Duthil, Benjamin
;
Courboulay, Vincent
;
Coustaty, Mickaël
. - : ARIA, GRCE, 2014
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12
PEDIVHANDI: Multimodal Indexation and Retrieval System for Lecture Videos
Van Nguyen, Nhu
;
Charneau, Franck
;
Nguyen, Nhu-Van
...
In: ISSN: 1868-5137 ; EISSN: 1868-5145 ; Journal of Ambient Intelligence and Humanized Computing ; https://hal.archives-ouvertes.fr/hal-02519310 ; Journal of Ambient Intelligence and Humanized Computing, Springer, 2013, 3 (4), pp.382-393. ⟨10.1007/978-3-642-37444-9_30⟩ (2013)
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13
A local evaluation of vectorized documents by means of polygon assignments and matching
Ogier, Jean-Marc
;
Burie, Jean-Christophe
;
Raveaux, Romain
In:
International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer
15 (2012) 1, 21-43
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14
Towards historical document indexing: extraction of drop cap letters
Coustaty, Mickaël
;
Ogier, Jean-Marc
;
Pareti, Rudolf
...
In:
International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer
14 (2011) 3, 243-254
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OLC Linguistik
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15
Cursive on-line Handwriting word recognition using a bi-character model for large lexicon applications
Prum, Sophea
;
Visani, Muriel
;
Ogier, Jean-Marc
In: Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010) ; 15th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010) ; https://hal.archives-ouvertes.fr/hal-00860700 ; 15th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010), Nov 2010, Kolkata, India. pp.194-199 (2010)
Abstract:
International audience ; This paper deals with on-line handwriting recognition in a closed-world environment with a large lexicon. Several applications using handwriting recognition have been developed, but most of them consider a lexicon of limited size. Many difficulties, in particular confusions during the segmentation stage, are linked to the use of a large lexicon, with large writing variations and an increased complexity of the connections between characters. In order to circumvent these problems, we introduce in this paper an original method based on a new analytical approach using two levels of recognition models: an isolated character recognizer and an original bi-character recognition model. The idea behind the bi-character model is to recognize jointly two neighboring characters. The objective is to reduce the confusions between characters occurring during the segmentation step. Experiments show an interesting improvement of the recognition rate when introducing the bi-character model, as the recognition rate is increased of 7.2% for a 1000 words lexicon, of 9.1% for a 2000 words lexicon, and up to 15% for a 10000 words lexicon.
Keyword:
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
URL:
https://hal.archives-ouvertes.fr/hal-00860700
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16
A general framework for the evaluation of symbol recognition methods
Delalandre, Mathieu
;
Adam, Sébastien
;
Yang, Su
...
In:
International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer
9 (2007) 1, 59-74
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OLC Linguistik
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17
A general framework for the evaluation of symbol recognition methods
Valveny, E.
;
Dosch, P.
;
Winstanley, Adam
...
In:
International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer
9 (2007) 1, 59-74
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