Results 11 to 20 of about 4,932 (258)
Recognition of Online Turkish Handwriting using Transfer Learning
Gazi Üniversitesi Fen Bilimleri Dergisi, 2023 We present a recognition system for online Turkish handwriting using transfer learning. Training deep networks requires large amounts of data. Since such a sufficiently large collection of Turkish handwriting samples is not available, So we adopt the ...
Esma Fatıma BİLGİN TAŞDEMİR
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Handwritten text generation and strikethrough characters augmentation
Компьютерная оптика, 2022 We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate and Character Error Rate beyond best-reported results on handwriting text recognition tasks.
A.V. Shonenkov +5 more
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A New Learning-based Spatiotemporal Descriptor for Online Symbol Recognition [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 The success of handwriting recognition methods based on digitizer-pen signal processing is mostly dependent on the defined features. Strong and discriminating feature descriptors can play the main role in improving the accuracy of pattern recognition ...
M. Sepahvand, F. Abdali-Mohammadi
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Effect of Handwriting on Visual Word Recognition in Chinese Bilingual Children and Adults
Frontiers in Psychology, 2021 In a digital era that neglects handwriting, the current study is significant because it examines the mechanisms underlying this process. We recruited 9- to 10-year-old Chinese children (n = 24), who were at an important period of handwriting development,
Connie Qun Guan +4 more
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Letter-Like Shape Recognition in Preschool Children: Does Graphomotor Knowledge Contribute?
Frontiers in Psychology, 2022 Based on evidence that learning new characters through handwriting leads to better recognition than learning through typing, some authors proposed that the graphic motor plans acquired through handwriting contribute to recognition.
Lola Seyll, Alain Content
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Handwriting Recognition with Novelty [PDF]
, 2021 This paper introduces an agent-centric approach to handle novelty in the visual recognition domain of handwriting recognition (HWR). An ideal transcription agent would rival or surpass human perception, being able to recognize known and new characters in an image, and detect any stylistic changes that may occur within or across documents.
Derek S. Prijatelj +4 more
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Towards Accurate Children’s Arabic Handwriting Recognition via Deep Learning
Applied Sciences, 2023 Automatic handwriting recognition has received considerable attention over the past three decades. Handwriting recognition systems are useful for a wide range of applications.
Anfal Bin Durayhim +3 more
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Skew Correction and Image Cleaning Handwriting Recognition Using a Convolutional Neural Network
JOIV: International Journal on Informatics Visualization, 2023 Handwriting recognition is a study of Optical Character Recognition (OCR) which has a high level of complexity. In addition, everyone has a unique and inconsistent handwriting style in writing characters upright, affecting recognition success.
Shofwatul Uyun +2 more
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Machine Learning with Applications, 2021 The recognition of online handwriting is a vital application of pattern recognition, which involves the extraction of spatial and temporal information of handwritten patterns, and understanding the handwritten text while writing on the digital surface ...
Sukhdeep Singh +2 more
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Ilkom Jurnal Ilmiah, 2022 Identifying a writing is an easy thing to do for human, but this does not apply to computers, in particular if it is handwriting. Handwriting recognition, especially cursive handwriting is a research in the area of image processing and pattern matching ...
Fitrianingsih Fitrianingsih +4 more
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