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Handwritten Character Recognition
SSRN Electronic Journal, 2023 Abstract: Handwritten character recognition is a fascinating topic in the field of artificial intelligence. It involves developing algorithms and models that can analyze and interpret handwritten characters, such as letters, numbers, or symbols. The goal is to accurately convert handwritten text into digital form, making it easier to process and ...
Revanth S, Roopa H M
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HANDWRITTEN CHARACTER RECOGNITION
International Journal For Innovative Engineering and Management Research, 2022 Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to writing notes manually. Handwritten character recognition is considered as a core to a diversity of emerging application by using the concepts of machine learning.
Saniya Firdous
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HANDWRITTEN CHARACTER RECOGNITION
International Journal of Advance Engineering and Research Development, 2014 Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to writing notes manually.
F. Khalid
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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 +3 more
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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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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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Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition [PDF]
IEEE International Conference on Document Analysis and Recognition, 2023 There are more than 80,000 character categories in Chinese while most of them are rarely used. To build a high performance handwritten Chinese character recognition (HCCR) system supporting the full character set with a traditional approach, many ...
Dongnan Gui +3 more
semanticscholar +1 more source
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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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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