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Recognition of printed Arabic text using neural networks
Proceedings of the Fourth International Conference on Document Analysis and Recognition, 2002The main theme of the paper is the automatic recognition of Arabic printed text using artificial neural networks in addition to conventional techniques. This approach has a number of advantages: it combines rule based (structural) and classification tests; feature extraction is inexpensive; and execution time is independent of character font and size ...
A. Amin, W. Mansoor
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Machine Learning in Handwritten Arabic Text Recognition
2013Abstract Automated recognition of handwritten text is one of the most interesting applications of machine learning. This chapter poses handwritten Arabic text recognition as a learning problem and provides an overview of the ML techniques that have been used to address this challenging task.
Utkarsh Porwal +2 more
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Machine recognition and correction of printed Arabic text
IEEE Transactions on Systems, Man, and Cybernetics, 1989A method for automatic recognition of a multifont Arabic text entered from a scanner of 300 dpi density is presented. The system is based on two components, one for character recognition and one for word recognition. Character recognition is further divided into three phases: the digitization process, segmentation of words into characters, and ...
A. Amin, J.F. Mari
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Arabic ligatures: Analysis and application in text recognition
2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015The Arabic script allows the replacement of certain character sequences by more compact forms called ligatures. Such ligatures lack a systematic analysis despite their importance in Arabic text recognition research. In this paper, we present analysis of ligatures and compile a comprehensive list of Arabic ligatures.
Yousef Elarian +4 more
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Arabic Named Entity Recognition from Diverse Text Types
2008Name identification has been worked on quite intensively for the past few years, and has been incorporated into several products. Many researchers have attacked this problem in a variety of languages but only a few limited researches have focused on Named Entity Recognition (NER) for Arabic text due to the lack of resources for Arabic named entities ...
Khaled Shaalan, Hafsa Raza
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A Database for Offline Arabic Handwritten Text Recognition
2011Arabic handwritten text recognition has not received the same attention as that directed towards Latin script-based languages. In this paper, we present our efforts to develop a comprehensive Arabic Handwritten Text database (AHTD). At this stage, the database will consist of text written by 1000 writers from different countries. Currently, it has data
Sabri A. Mahmoud +3 more
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Psychological named entity recognition from psychological Arabic texts
International Journal of Metadata, Semantics and Ontologies, 2017The most important problems facing the Arabisation of modern science is the terminological inconsistency in translation; this problem becomes more complex in the medical field specifically in psychological sciences where the translation of English–Arabic medical terms poses real challenges for researchers eager to analyse and organise this information.
Kheira Lakel, Fatima Bendella
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Segmentation of Arabic Text into Characters for Recognition
2008One of the steps of character recognition systems is the segmentation of words/sub-words into characters. The segmentation of text written in any Arabic script is a most difficult task. Due to this difficulty, many systems consider sub-words instead of a character as the basic unit for recognition.
Noor Ahmed Shaikh +2 more
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Contribution on Character Modelling for Handwritten Arabic Text Recognition
2017Arabic script is considered to be one of the most complex writing systems, which complicate the text recognition task. Among its complexities, the shape of the character depends according to its position in the word. More than 170 different shapes could be constructed to represent 28 basic letters; some of them are more used than others in the Arabic ...
Anis Mezghani +3 more
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