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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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, P. Sathish
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BANGLA HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTION NEURAL NETWORK
ICTACT Journal on Soft Computing, 2022 Since, last one-decade, numerous deep learning models have been designed to resolve handwritten character recognition task in languages, namely, English, Chinese, Arabic, Japanese and Russian.
Shankha De, Arpana Rawal
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Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 Over the last few years, several researchers have worked on handwritten character recognition and have proposed various techniques to improve the performance of Indic and non-Indic scripts recognition.
Manoj Kumar Mahto +2 more
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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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IEEE Access, 2021 Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories.
Yintong Wang +3 more
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DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters
IEEE Access, 2022 Many problems can reduce handwritten character recognition performance, such as image degradation, light conditions, low-resolution images, and even the quality of the capture devices.
Sarayut Gonwirat, Olarik Surinta
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Handwritten Character Recognition on Android for Basic Education Using Convolutional Neural Network
Electronics, 2021 An international initiative called Education for All (EFA) aims to create an environment in which everyone in the world can get an education. Especially in developing countries, many children lack access to a quality education.
Thi Thi Zin +3 more
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Handwritten Arabic Character Recognition for Children Writing Using Convolutional Neural Network and Stroke Identification [PDF]
Human-Centric Intelligent Systems, 2022 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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End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning
IEEE Access, 2023 Recognizing handwritten text is a challenging task, especially for scripts with numerous alphabets and symbols. The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms. However,
Ruchika Malhotra, Maru Tesfaye Addis
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