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A Comparative Study of Three Measurement Methods of Chinese Character Recognition for L2 Chinese Learners [PDF]
Frontiers in Psychology, 2022 Measuring Chinese character recognition ability is essential in research on character learning among learners of Chinese as a second language (CSL).
Haiwei Zhang +3 more
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MA-CharNet: Multi-angle fusion character recognition network [PDF]
PLoS ONE, 2022 Irregular text recognition of natural scene is a challenging task due to large span of character angles and morphological diversity of a word. Recent work first rectifies curved word region, and then employ sequence algorithm to complete the recognition ...
Qingyu Wang +3 more
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Air-Writing Character Recognition with Ultrasonic Transceivers [PDF]
Sensors, 2021 The interfaces between users and systems are evolving into a more natural communication, including user gestures as part of the interaction, where air-writing is an emerging application for this purpose.
Borja Saez-Mingorance +5 more
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Linguistic-visual based multimodal Yi character recognition [PDF]
Scientific ReportsThe recognition of Yi characters is challenged by considerable variability in their morphological structures and complex semantic relationships, leading to decreased recognition accuracy.
Haipeng Sun +5 more
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Full depth CNN classifier for handwritten and license plate characters recognition [PDF]
PeerJ Computer Science, 2021 Character recognition is an important research field of interest for many applications. In recent years, deep learning has made breakthroughs in image classification, especially for character recognition.
Mohammed Salemdeeb, Sarp Ertürk
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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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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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