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1. link.springer.com › article › 10Handwritten Arabic numerals recognition using convolutional ...

   link.springer.com › article › 10

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   Mar 28, 2020 · Mahmoud proposed a method for handwritten Arabic numerals recognition using Hidden Markov Model (HMM) and Nearest Neighbor (NN) classifier. In this work, 120-dimensional feature vector was used for classification and they achieved recognition accuracies of 97.99% using HMM and 94.35% using NN classifier.

   • Author: Pratik Ahamed, Soumyadeep Kundu, Tauseef Khan, Vikrant Bhateja, Ram Sarkar, Ayatullah Faruk Mollah

   • Publish Year: 2020

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3. towardsdatascience.com › deep-learning-handwrittenDeep Learning & Handwritten Arabic Digits | by Matthew Arthur ...

   towardsdatascience.com › deep-learning-handwritten

   Feb 8, 2019 · The ‘hello world’ of deep learning is often the MNIST handwritten number dataset, and I wanted to apply the same techniques to a more interesting application: the Arabic Handwritten Characters Dataset (AHCD), a dataset developed by the American University in Cairo.¹.

   • Author: Matthew Arthur

4. iopscience.iop.org › article › 10Handwritten Arabic numerals recognition system using ...

   iopscience.iop.org › article › 10

   Jan 1, 2021 · This system can recognize handwritten input and externally imported Arabic numerals in real time, including two processes of image pre-processing and recognition. Image pre-processing involved normalization and expansion to enlarge the characteristics of the picture for easy recognition.

5. link.springer.com › article › 10Arabic Handwritten Recognition Using Deep Learning: A Survey

   link.springer.com › article › 10

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   Jan 23, 2022 · This paper aims to categorize, analyze and presents a comprehensive survey in Arabic handwritten recognition literature, focusing on state-of-the-art methods for deep learning in feature extraction. The paper focuses on offline text recognition, with a detailed discussion of the systematic analysis of the literature.

6. link.springer.com › chapter › 10An Efficient Recognition Method for Handwritten Arabic ...

   link.springer.com › chapter › 10

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   Aug 10, 2018 · 1 Introduction. Automatic character recognition, also known as optical character recognition (OCR), has very high commercial and pedagogical importance and has been receiving a profound interest from researchers over the past few years.

   • Author: Akm Ashiquzzaman, Abdul Kawsar Tushar, Ashiqur Rahman, Farzana Mohsin

   • Publish Year: 2019

7. arxiv.org › abs › 1003[1003.1891] Handwritten Arabic Numeral Recognition using a ...

   arxiv.org › abs › 1003

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   Mar 9, 2010 · View a PDF of the paper titled Handwritten Arabic Numeral Recognition using a Multi Layer Perceptron, by Nibaran Das and 3 other authors. Handwritten numeral recognition is in general a benchmark problem of Pattern Recognition and Artificial Intelligence.

8. People also ask

   Is there a model for Arabic handwritten character recognition?

   • De Sousa and Mudhsh designed models for Arabic handwritten character recognition inspired by VGG-16. De Sousa in proposed two deep CNN-based models, VGG-12 and REGU, for recognizing Arabic handwritten characters and digits.

   Arabic Handwritten Recognition Using Deep Learning: A Survey

   link.springer.com/article/10.1007/s13369-021-06363-3

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   Can machine learning be used for Arabic handwritten recognition?

   • However, due to the Arabic script’s unique characteristics, e.g., its cursive nature, diacritics and diagonal strokes, developing an Arabic character recognition system is still challenging . Many Machine Learning (ML) algorithms have been successfully used for Arabic Handwritten Recognition (AHR).

   Arabic Handwritten Recognition Using Deep Learning: A Survey

   link.springer.com/article/10.1007/s13369-021-06363-3

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   Can CNN be used in Arabic character recognition?

   • El-Sawy et al. claimed that CNN approaches outperform other methods in feature extraction and classification tasks, and they are suitable for use in Arabic character recognition models. However, they require a large dataset to achieve good results, while the available Arabic Handwritten Character datasets have a limited number of images.

   Arabic Handwritten Recognition Using Deep Learning: A Survey

   link.springer.com/article/10.1007/s13369-021-06363-3

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   Can deep learning improve Arabic handwritten recognition?

   • Many Machine Learning (ML) algorithms have been successfully used for Arabic Handwritten Recognition (AHR). However, AHR technologies can be significantly improved by introducing Deep Learning (DL) architectures.

   Arabic Handwritten Recognition Using Deep Learning: A Survey

   link.springer.com/article/10.1007/s13369-021-06363-3

   See all results for this question

   Can Arabic letters/numbers be detected?

   • With the increased interest in recognizing Arabic letters/numbers in various forms and the emergence of deep learning algorithms, it will become possible. To date, the detection and identification of Arabic handwritten letters/numbers still require more work, especially with the scarcity of available data.

   (PDF) HANDWRITING DETECTION AND RECOGNITION OF ARABIC ... …

   www.researchgate.net/publication/371349448_HANDWRITING_DETECTION_AND_RECOGNITION_OF_ARABIC_NUMBERS_AND_CHARACTERS_USING_DEEP_LEARNING_METHODS

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   How accurate is the Arabic handwritten characters dataset?

   • Using the fast.ai library to classify the AHCD at 99% accuracy! The ‘hello world’ of deep learning is often the MNIST handwritten number dataset, and I wanted to apply the same techniques to a more interesting application: the Arabic Handwritten Characters Dataset (AHCD), a dataset developed by the American University in Cairo.¹

   Deep Learning & Handwritten Arabic Digits | by Matthew Arthur | Towar…

   towardsdatascience.com/deep-learning-handwritten-arabic-digits-5c7abc3c0580

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9. www.researchgate.net › publication › 371349448HANDWRITING DETECTION AND RECOGNITION OF ARABIC NUMBERS AND ...

   www.researchgate.net › publication › 371349448

   Jun 1, 2023 · Seeing electronic copies of ancient Arabic handwritten books is a great challenge. With the increased interest in recognizing Arabic letters/numbers in various forms and the emergence of deep...