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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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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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Abstract:
International audience ; This paper introduces a novel approach for the recognition of a wide vocabulary of Arabic words. Note that there is an essential difference between global and analytic approaches in pattern recognition. While the global approach is limited to reduced vocabulary, the analytic approach succeeds to recognize a wide vocabulary but meets the problems of word segmentation especially for Arabic. We have investigated the use of Arabic linguistic knowledge to improve the recognition of wide Arabic word lexicon. A neural-linguistic approach was proposed to mainly deal with canonical vocabulary of decomposable words derived from tri-consonant healthy roots. The basic idea is to factorize words by their roots and schemes. In this direction, we conceived two neural networks TNN_R and TNN_S to respectively recognize roots and schemes from structural primitives of words. The proposal approach achieved promising results. Enlarging the vocabulary from 1000 to 1700 by 100 words, again confirmed the results without altering the networks stability.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Arabic Writing Recognition; Linguistic Knowledge Integration; Neural Networks; Structural Primitives; Wide Canonical Vocabulary
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URL: https://hal.inria.fr/inria-00600294
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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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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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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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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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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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