Results 151 to 160 of about 352 (167)
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Optical Character Recognition of Arabic handwritten characters using Neural Network
2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015Optical Character Recognition (OCR) is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used as a form of data entry. This paper proposes an approach to design and implement an off-line OCR system that recognizes Arabic handwritten characters; in this approach ...
Rana S. Hussien +2 more
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Bio-inspired BAT optimization algorithm for handwritten Arabic characters recognition
2016 IEEE Congress on Evolutionary Computation (CEC), 2016There are many difficulties facing a handwritten Arabic recognition system such as unlimited variation in human handwriting, similarities of distinct character shapes, interconnections of neighboring characters and their position in the word. This paper presents a handwritten Arabic character recognition system based on BA algorithm.
Ahmed Talat Sahlol +4 more
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Efficient Genetic Algorithms for Arabic Handwritten Characters Recognition
Advances in Intelligent and Soft Computing, 2006The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Genetic algorithm is probably the most efficient method available for character recognition.
exaly +2 more sources
Improving Handwritten Arabic Character Recognition by Modeling Human Handwriting Distortions
ACM Transactions on Asian and Low-Resource Language Information Processing, 2015Handwritten Arabic character recognition systems face several challenges, including the unlimited variation in human handwriting and the unavailability of large public databases of handwritten characters and words. The use of synthetic data for training and testing handwritten character recognition systems is one of the possible solutions to provide ...
Maad Shatnawi, Sherief Abdallah
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Handwritten Arabic characters recognition using Capsule Networks
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM), 2022Daldali Mehdi, Abdelghani Souhar
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Arabic handwritten characters recognition using Deep Belief Neural Networks
2015 IEEE 12th International Multi-Conference on Systems, Signals & Devices (SSD15), 2015In the handwriting recognition field, the deep learning is becoming the new trend thanks to their ability to deal with unlabeled raw data especially with the huge size of raw data available nowadays. In this paper, we investigate Deep Belief Neural Network (DBNN) for Arabic handwritten character/word recognition.
Mohamed Elleuch +2 more
openaire +1 more source
2014
There are many difficulties facing a handwritten Arabic recognition system such as unlimited variation in character shapes. This paper describes a new method for handwritten Arabic character recognition. We propose a novel efficient approach for the recognition of off-line Arabic handwritten characters.
Ahmed Talat Sahlol +3 more
openaire +2 more sources
There are many difficulties facing a handwritten Arabic recognition system such as unlimited variation in character shapes. This paper describes a new method for handwritten Arabic character recognition. We propose a novel efficient approach for the recognition of off-line Arabic handwritten characters.
Ahmed Talat Sahlol +3 more
openaire +2 more sources
Arabic Handwritten Character Recognition Based on Convolution Neural Networks
2022Lamia Bouchriha +4 more
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A new Arabic handwritten character recognition deep learning system (AHCR-DLS)
Neural Computing and Applications, 2020Mohamed S Saraya +2 more
exaly
Arabic Handwritten Characters Recognition Using Convolutional Neural Network
2021Rehab Duwairi
exaly