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Arabic Handwritten Documents Segmentation into Text-lines and Words using Deep Learning
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In: ASAR ; https://hal.inria.fr/hal-02460880 ; ASAR, Sep 2019, Sydney, Australia (2019)
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Line and Word Segmentation of Arabic handwritten documents using Neural Networks ; Segmentation en lignes et en mots de documents arabes manuscrits utilisant des modèles neuronnaux
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In: https://hal.inria.fr/hal-01910559 ; [Research Report] LORIA - Université de Lorraine; READ. 2018 (2018)
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Named Entity Recognition by Neural Prediction
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In: International Conference on Image Processing, Computer Vision, & Pattern Recognition ; https://hal.inria.fr/hal-01981613 ; International Conference on Image Processing, Computer Vision, & Pattern Recognition, Jul 2018, Las Vegas, United States (2018)
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Impact of Features and Classifiers Combinations on the Performances of Arabic Recognition Systems
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In: International Workshop on Arabic Script Analysis and Recognition ; https://hal.inria.fr/hal-01981528 ; International Workshop on Arabic Script Analysis and Recognition, Apr 2017, NANCY, France (2017)
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Arabic Handwritten Words Off-line Recognition based on HMMs and DBNs
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In: ICDAR 2015 - 13th International Conference on Document Analysis and Recognition ; https://hal.inria.fr/hal-01254724 ; ICDAR 2015 - 13th International Conference on Document Analysis and Recognition, Aug 2015, Nancy, France. pp.51 - 55, ⟨10.1109/ICDAR.2015.7333724⟩ (2015)
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A Neural-Linguistic Approach for the Recognition of a Wide Arabic Word Lexicon
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In: Document Recognition and Retrieval XVII ; https://hal.inria.fr/inria-00579680 ; Document Recognition and Retrieval XVII, Jan 2010, San Jose, United States (2010)
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Automation of Indian Postal Documents written in Bangla and English
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In: ISSN: 0218-0014 ; EISSN: 0218-0014 ; International Journal of Pattern Recognition and Artificial Intelligence ; https://hal.inria.fr/inria-00435501 ; International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2009, 23 (8), pp.1599-1632. ⟨10.1142/S0218001409007776⟩ (2009)
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Segmentation of Continuous Document Flow by a modified Backward- Forward algorithm
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In: SPIE - Electronic Imaging ; https://hal.inria.fr/inria-00347217 ; SPIE - Electronic Imaging, 2009, Los Angeles, United States (2009)
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| 11 |
A neural perceptive model for the recognition of a large canonical Arabic word vocabulary
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In: International Arab Conference on Information Technology ; https://hal.inria.fr/inria-00600294 ; International Arab Conference on Information Technology, Dec 2009, Sana'a, Yemen (2009)
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HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition
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In: ISSN: 0950-7051 ; EISSN: 1872-7409 ; Knowledge-Based Systems ; https://hal.inria.fr/inria-00579697 ; Knowledge-Based Systems, Elsevier, 2009, 23 (8), pp.914-923. ⟨10.1016/j.knosys.2010.06.007⟩ (2009)
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| 13 |
Effect of Ghost Character Theory on Arabic Script Based Languages Character Recognition
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In: WASE Global Conference on Image Processing and Analysis - GCIA09 ; https://hal.inria.fr/inria-00579666 ; WASE Global Conference on Image Processing and Analysis - GCIA09, Feb 2009, Taiwan, China (2009)
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| 14 |
Arabic natural language processing: handwriting recognition
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In: International Arab Conference on Information Technology - ACIT'2008 ; https://hal.inria.fr/inria-00347229 ; International Arab Conference on Information Technology - ACIT'2008, Dec 2008, Hammamet, Tunisia (2008)
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Abstract:
International audience ; The automatic recognition of Arabic writing is a very young research discipline with very challenging and significant problems. Indeed, with the air of the Internet, of Multimedia, the recognition of Arabic is useful to contributing like its close disciplines, Latin writing recognition, speech recognition and Vision processing, in current applications around digital libraries, document security and in numerical data processing in general. Arabic is a Semitic language spoken and understood in various forms by millions of people throughout the Middle East and in Africa, and it is used by 234 million people worldwide. Furthermore, Arabic gave rise to several other alphabets like Farsi or Urdu increasing much the interest of this script. Farsi is the main language used in Iran and Afghanistan, and it is spoken by more than 110 million people, concerning also some people in Tajikistan, and Pakistan. Urdu is an Indo-Aryan language with about 104 million speakers. It is the national language of Pakistan and is closely related to Hindi, though a lot of Urdu vocabulary comes from Persian and Arabic, which is not the case for Hindi. Urdu has been written with a version of the Perso-Arabic script since the 12th century and is normally written in Nastaliq style.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
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URL: https://hal.inria.fr/inria-00347229/file/belaid-acit-keynote.pdf
https://hal.inria.fr/inria-00347229/document
https://hal.inria.fr/inria-00347229
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| 15 |
A Novel Approach for the Recognition of a wide Arabic Handwritten Word Lexicon
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In: International Conference on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-00347179 ; International Conference on Document Analysis and Recognition, Dec 2008, Tampa, United States. pp.ThAT6.5 (2008)
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| 16 |
Cursive Bengali Script Recognition for Indian Postal Automation ; Reconnaissance de l'écriture manuscrite cursive Bengali pour l'automatisation de la Poste Indienne
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A System for Indian Postal Automation
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In: International Conference on Document Analysis and Recognition ; https://hal.inria.fr/inria-00000364 ; International Conference on Document Analysis and Recognition, Sep 2005, Seoul, Korea (2005)
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A System for Indian Postal Automation
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In: International Workshop on Document Analysis ; https://hal.inria.fr/inria-00000103 ; International Workshop on Document Analysis, Umapada Pal, Mar 2005, Kolkata, India (2005)
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Du manuscrit à l'impression sans saisie
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In: Colloque sur la vision artificielle - CVA'00 ; https://hal.inria.fr/inria-00099150 ; Colloque sur la vision artificielle - CVA'00, 2000, Tizi Ouzou, Algérie, 49 p (2000)
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