Results 11 to 20 of about 3,209,064 (352)
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition [PDF]
International Joint Conference on Artificial Intelligence, 2021 Chinese character recognition has attracted much research interest due to its wide applications. Although it has been studied for many years, some issues in this field have not been completely resolved yet, \textit{e.g.} the zero-shot problem.
Jingye Chen, Bin Li, X. Xue
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Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques. [PDF]
Sensors (Basel), 2023 Nahar KMO +6 more
europepmc +3 more sources
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) [PDF]
IEEE Access, 2020 Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a science that enables to translate various types of documents or images
Jamshed Memon +2 more
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 Industry 4.0 revolve the way of thinking in manufacturing factory business. Speed and accuracy become the main focus to survive and To growth. This study aims to build a blue print of an system that will increase both speed and accuracy in form input ...
Christian Wibisono, Setia Budi
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Construction of Statistical SVM based Recognition Model for Handwritten Character Recognition
JUNE, 2021 There are many applications of the handwritten character recognition (HCR) approach still exist. Reading postal addresses in various states contains different languages in any union government like India.
Y. B. Hamdan, Prof. Sathish
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Handwritten character recognition using convolutional neural network
Journal of Physics: Conference Series, 2021 Handwritten character recognition (HCR) is the detection of characters from images, documents and other sources and changes them in machine-readable shape for further processing.
I. Khandokar +4 more
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Selection of acoustic modeling unit for Tibetan speech recognition based on deep learning [PDF]
MATEC Web of Conferences, 2021 The selection of the speech recognition modeling unit is the primary problem of acoustic modeling in speech recognition, and different acoustic modeling units will directly affect the overall performance of speech recognition.
Gong Baojia +4 more
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Comparison of Handwritten Recognition Methods on Arabic and Latin Characters
Journal of Studies in Science and Engineering, 2022 In this article, both machine learning techniques and deep learning methods were applied on the digit datasets created using the Arabic and Latin alphabets, and the performances of the methods were compared. Each method was tested with various parameters
Mehmet Tutar
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Transliteration of Hiragana and Katakana Handwritten Characters Using CNN-SVM
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Hiragana and katakana handwritten characters are often used when writing words in Japanese. Japanese itself is often used by native Japanese as well as people learning Japanese around the world.
Nicolaus Euclides Wahyu Nugroho +1 more
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Algorithms, 2022 Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images.
Nazmus Saqib +3 more
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