Results 21 to 30 of about 4,593,161 (321)
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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Frontiers in Energy Research, 2022 To address the problems of poor accuracy and response time of optical character recognition of power equipment nameplates for energy systems, which are ascribed to exposure to natural light and rainy weather, this paper proposes an optical character ...
Xun Zhang, Wanrong Bai, Haoyang Cui
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Character recognition algorithms
Journal of Physics: Conference Series, 2018 The article discusses various algorithms for character recognition, describes their advantages and disadvantages. The modified algorithm of character recognition based on the template method is proposed, its block diagram is given, the results of testing are presented, as well as the possibility of its application in the system of automated test forms ...
A. A. Valke, D. G. Lobov
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Multifont Ottoman character recognition [PDF]
ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445), 2002 Ottoman characters from three different fonts are used in character recognition problems; broadly speaking, this involves transferring a page that contain symbols to the computer and matching these symbols with previously known or recognized symbols after extraction the features of these symbols via appropriate preprocessing methods.
Öztürk, Ali +2 more
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Recognition of expiry data on food packages based on improved DBNet
Connection Science, 2023 To prevent products with missing character information from reaching the market, manufacturers need an automatic character recognition method. One of the key problems of this recognition method is to recognise text under complex package patterns.
Jishi Zheng +4 more
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Recognition English Letters Using Invariant Moment in Extracting Properties of Images [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2005 In this research, a study of printed English characters properties for Optical Character Recognition is done using the invariant moment method to evaluate the character properties due to it’s resistance against the rotation, scaling and shifting work. In
Hadia Abdullah
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Braille Character Recognition System: Review [PDF]
Al-Rafidain Journal of Computer Sciences and MathematicsThe Braille Recognition System is the process of capturing a Braille document image and turning its content into its equivalent natural language characters.
Rusul Hasan +2 more
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Recognition of Printed Text Based on Hidden Markov Model [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 Automatic recognition of printed text is of high importance in modern IT applications. Recognition of text for lateen scripted language is readily in use for a long time.
Ghaydaa Al-Talib, Armanesa Hasson
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Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition [PDF]
, 2012 In handwritten character recognition, benchmark database plays an important role in evaluating the performance of various algorithms and the results obtained by various researchers. In Devnagari script, there is lack of such official benchmark.
Dongre, Vikas J., Mankar, Vijay H.
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Handwritten Character Recognition from Images using CNN-ECOC
Procedia Computer Science, 2020 Recently, deep learning and character recognition have drawn the attention of many researchers. The deep neural networks have state-of-the-art performance in solving many classification and recognition problems.
Mayur Bhargab Bora +3 more
semanticscholar +1 more source