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Empowering people with intellectual disabilities using integrated deep learning architecture driven enhanced text-based emotion classification. [PDF]
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2018 8th International Conference on Computer Science and Information Technology (CSIT), 2018
Optical Character Recognition (OCR) is the process of recognizing characters automatically from scanned or image documents. OCR software uses machine learning to recognize characters in the document. Such software needs to pass a training phase to learn how to recognize the letters in the text.
Iyad Abu Doush +2 more
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Optical Character Recognition (OCR) is the process of recognizing characters automatically from scanned or image documents. OCR software uses machine learning to recognize characters in the document. Such software needs to pass a training phase to learn how to recognize the letters in the text.
Iyad Abu Doush +2 more
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2016 7th International Conference on Computer Science and Information Technology (CSIT), 2016
Performance evaluation of Optical Character Recognition (OCR) systems is an essential task for OCR systems development. However, studies in Arabic OCR suffer from the lack of proper performance evaluation metrics and the availability of evaluation tools.
Mansoor A Alghamdi +2 more
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Performance evaluation of Optical Character Recognition (OCR) systems is an essential task for OCR systems development. However, studies in Arabic OCR suffer from the lack of proper performance evaluation metrics and the availability of evaluation tools.
Mansoor A Alghamdi +2 more
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Thinning algorithms for Arabic OCR
Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing, 2002The development of effective thinning algorithms for the purpose of development of Arabic OCR (optical character recognition) is considered. Two parallel thinning algorithms are presented. One is based on local operations to detect edge points, end-points, and break-points.
M. Tellache, M. Sid-Ahmed, B. Abaza
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2010 5th International Symposium On I/V Communications and Mobile Network, 2010
Nowadays the majority of TV channels are performing digitization of their archival materials. The digitization enhances preservation of records and makes the access to documents easier. However, when the quantity of documents become important the digitization is not enough to insure an efficient access.
M. Ben Halima, H. Karray, A. M. Alimi
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Nowadays the majority of TV channels are performing digitization of their archival materials. The digitization enhances preservation of records and makes the access to documents easier. However, when the quantity of documents become important the digitization is not enough to insure an efficient access.
M. Ben Halima, H. Karray, A. M. Alimi
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Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage, 2019
Current OCR has limited capability for Arabic because of script models lacking scientific basis. We propose a new OCR strategy for Arabic, based on 1. Islamic script grammar including extended shaping and 2. treating Arabic script as a multi-layered writing system. We analyse Arabic script as an allographic rendering of graphemic abstractions. Grapheme
Thomas Milo, Alicia González Martínez
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Current OCR has limited capability for Arabic because of script models lacking scientific basis. We propose a new OCR strategy for Arabic, based on 1. Islamic script grammar including extended shaping and 2. treating Arabic script as a multi-layered writing system. We analyse Arabic script as an allographic rendering of graphemic abstractions. Grapheme
Thomas Milo, Alicia González Martínez
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Synthetic data for Arabic OCR system development
Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002A system for the automatic generation of synthetic databases for the development or evaluation of Arabic word or text recognition systems (Arabic OCR) is presented. The proposed system works without any scanning of printed paper. Firstly Arabic text has to be typeset using a standard typesetting system.
V. Margner, M. Pechwitz
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Robust metrics for evaluating arabic OCR systems
International Image Processing, Applications and Systems Conference, 2014Evaluating OCR software is an important task to test the accuracy and to compare the strengths and weaknesses of distinct OCR systems. Research in the past has been done to compare the performance of OCR systems, all metrics used before dependent only on the character accuracy.
Shimaa Saber, Ali Ahmed, Mohy Hadhoud
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Preparing Persian/Arabic Scanned Images for OCR
2006 2nd International Conference on Information & Communication Technologies, 2006Digital documents are widely used today. So converting written documents such as books to digital documents is unavoidable. The most popular method for doing this is OCR. Usually documents are scanned and then scanned images are sent to OCR. Scanned images need some preprocessing in order to be used in OCR efficiently.
S. Shirali-Shahreza +2 more
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