Off line Arabic handwritten character using neural network
— Character Recognition (CR) considered as one of the most important in the field of pattern recognition. The ultimate objectives of the Optical Character Recognition (OCR) system is to simulate the capability of reading, hence the OCR considered as artificial intelligence. In this paper, a char...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62647/ http://irep.iium.edu.my/62647/ http://irep.iium.edu.my/62647/ http://irep.iium.edu.my/62647/1/62647_Off%20line%20Arabic%20handwritten%20character.pdf http://irep.iium.edu.my/62647/7/62647_Off%20line%20Arabic%20handwritten%20character%20using%20neural%20network_scopus%20CONF.pdf |
| Summary: | — Character Recognition (CR) considered as one of the
most important in the field of pattern recognition. The ultimate
objectives of the Optical Character Recognition (OCR) system is
to simulate the capability of reading, hence the OCR considered
as artificial intelligence. In this paper, a character-handwritten
recognition for the Arabic language is developed. The main aim
of the system is to save time and effort Arabic OCR. In addition,
to be the alternative of the typing manual due to provide it fast
and reliable. The system has four main stages; preprocessing,
segmentation, feature extraction, classification, and recognition.
The system is off-line and depends on the image acquisition. So,
after acquitted the image has to go through the main stages. The
Neural Network used as a classifier. The proposed system is able
to recognize as many characters as can with high accuracy rate.
In addition, it is focusing on the character that has similarities
and the system will also be considered about the number of dots
and its position, and the connected components. |
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