Deep inception neural network with residual connections for Tamil handwritten character recognition [PDF]
Scientific ReportsThe research community is actively working on character recognition for various languages, including Tamil, Arabic, Chinese, Telugu, and Malayalam. It is important to digitize texts so that large-scale documents can be saved, retrieved, and analysed ...
Hariharan Periyasamy +2 more
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Online Chinese and English Handwriting Recognition Method Based on Multiple Rules and Path Evaluation [PDF]
Jisuanji gongcheng, 2022 Handwritten text recognition is mainly used in text input technology, which plays a key role in the development of human-computer interaction.To address the lack of functionality for Chinese and English mixed handwritten text recognition in most online ...
FU Pengbin, LIU Penghui, YANG Huirong, DONG Aojing
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HACR-MDL: HANDWRITTEN ARABIC CHARACTER RECOGNITION MODEL USING DEEP LEARNING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Despite the enormous effort and prior research, Arabic handwritten character recognition still has a deep, wide-ranging, and untapped scope for study owing to the enormous challenges faced in this research area. The reason for such challenges is that the
M. N. Elagamy, M. M. Khalil, E. Ismail
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Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis
Mehran University Research Journal of Engineering and Technology, 2021 This paper presents an efficient Optical Character Recognition (OCR) system for offline isolated Pashto characters recognition. Developing an OCR system for handwritten character recognition is a challenging task because of the handwritten characters ...
Sardar Jehangir +4 more
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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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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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