Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination. [PDF]
Sensors (Basel), 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.
Alwagdani MS, Jaha ES.
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Handwritten Arabic Character Recognition for Children Writing Using Convolutional Neural Network and Stroke Identification [PDF]
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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Segmentation-based, omnifont printed Arabic character recognition without font identification
Journal of King Saud University: Computer and Information Sciences, 2022 Optical Character Recognition OCR is an essential part of many real-world applications such as digital archiving, automatic number plate recognition, handle cheques, etc.
Aziz Qaroush +3 more
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Arabic Character Recognition Using Fractal Dimension [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 In this work the concepts of the pattern recognition was used to recognize printed Arabic characters, and the Fractal geometric dimension method was used.
Khalil Alsaif, Karam Thanoon
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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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Character Recognition of Arabic Handwritten Characters Using Deep Learning
Journal of Studies in Science and Engineering, 2022 Optical character recognition (OCR) is used to digitize texts in printed documents and camera images. The most basic step in the OCR process is character recognition.
Mohammed Widad Jbrail +1 more
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Arabic Character Recognition [PDF]
Language, Culture, Computation, 2014 Although optical character recognition of printed texts has been a focus of research for the last few decades, Arabic printed text, being cursive, still poses a challenge. The challenge is twofold: segmenting words into letters and identifying individual letters. We describe a method that combines the two tasks, using multiple grids of SIFT descriptors
Nachum Dershowitz, Andrey Rosenberg
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Arabic Character Recognition Using CNN LeNet-5
JOIV: International Journal on Informatics Visualization, 2023 The human handwriting pattern is one of the research areas of pattern recognition; it is very complex. Therefore, research in this field has become quite popular.
Gibran Satya Nugraha +4 more
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Handwriting Arabic Character Recognition Using Features Combination
IJID (International Journal on Informatics for Development), 2021 The recognition of Arabic handwriting is a challenging problem to solve. The similarity among the fonts appears as a problem in the recognition processing.
Fitriyatul Qomariyah +2 more
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Arabic speech recognition model using Baidu's deep and cluster learning [PDF]
Frontiers in Artificial IntelligenceThis study involves extracting the spectrum from the Arabic raw, unlabeled audio signal and producing Mel-frequency cepstral coefficients (MFCCs). The clustering algorithm groups the retrieved MFCCs with analogous features.
Fawaz S. Al-Anzi +1 more
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