Results 1 to 10 of about 352 (167)
Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification [PDF]
Scientific ReportsOptical Character Recognition (OCR) systems play a crucial role in converting printed Arabic text into digital formats, enabling various applications such as education and digital archiving.
Mohammed R. Al-Maamari +3 more
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Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination [PDF]
Sensors, 2023 Handwritten Arabic character recognition has received increasing research interest in recent years. However, as of yet, the majority of the existing handwriting recognition systems have only focused on adult handwriting.
Maram Saleh Alwagdani, Emad Sami Jaha
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IEEE Access, 2020 Accomplishing high recognition performance is considered one of the most important tasks for handwritten Arabic character recognition systems. In general, Optical Character Recognition (OCR) systems are constructed from four phases: pre-processing ...
Ahmed Talat Sahlol +3 more
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Deep inception neural network with residual connections for Tamil handwritten character recognition [PDF]
Scientific ReportsThe research community is actively working on character recognition for various languages, including Tamil, Arabic, Chinese, Telugu, and Malayalam. It is important to digitize texts so that large-scale documents can be saved, retrieved, and analysed ...
Hariharan Periyasamy +2 more
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Arabic Handwritten Alphanumeric Character Recognition Using Very Deep Neural Network
Information, 2017 The traditional algorithms for recognizing handwritten alphanumeric characters are dependent on hand-designed features. In recent days, deep learning techniques have brought about new breakthrough technology for pattern recognition applications ...
MohammedAli Mudhsh, Rolla Almodfer
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HACR-MDL: HANDWRITTEN ARABIC CHARACTER RECOGNITION MODEL USING DEEP LEARNING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Despite the enormous effort and prior research, Arabic handwritten character recognition still has a deep, wide-ranging, and untapped scope for study owing to the enormous challenges faced in this research area. The reason for such challenges is that the
M. N. Elagamy, M. M. Khalil, E. Ismail
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ARABIC HANDWRITTEN CHARACTERS RECOGNITION VIA MULTI-SCALE HOG FEATURES AND MULTI-LAYER DEEP RULE-BASED CLASSIFICATION [PDF]
ICTACT Journal on Image and Video Processing, 2020 Optical character recognition systems for handwritten Arabic language still face challenges, owing to high level of ambiguity, complexity and tremendous variations in human writing styles.
Soumia Djaghbellou +3 more
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Comprehensive collection for Arabic characters and numbers written by hand [PDF]
Engineering and Technology Journal, 2017 An Optical Character Recognition system for Arabic language should recognize Arabic handwritten words. However, it is difficult to find a freely accessible and comprehensive database of all Arabic words that can be employed for this purpose.
S.A. Ahmed
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BANGLA HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTION NEURAL NETWORK
ICTACT Journal on Soft Computing, 2022 Since, last one-decade, numerous deep learning models have been designed to resolve handwritten character recognition task in languages, namely, English, Chinese, Arabic, Japanese and Russian.
Shankha De, Arpana Rawal
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Human-Centric Intelligent Systems, 2023 Automatic Arabic handwritten recognition is one of the recently studied problems in the field of Machine Learning. Unlike Latin languages, Arabic is a Semitic language that forms a harder challenge, especially with the variability of patterns caused by ...
Mais Alheraki +2 more
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