Results 21 to 30 of about 2,034 (261)
Implementation of OCR using Convolutional Neural Network (CNN): A Survey [PDF]
مجلة التربية والعلم, 2022 Recently, character recognition and deep learning have caught the attention of many researchers. Optical Character Recognition (OCR) usually takes an image of the character as input and generates the identical character as output. The important role that
Ahmed Alkaddo, Dujan Albaqal
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DBN Fusion Model for Offline Handwritten Chinese Characters Ｒecognition
Journal of Harbin University of Science and Technology, 2017 The requirement of the recognition result is also increasing in practical applications. In this paper，a new classifier cascade recognition model is proposed for the problem of offline handwritten Chinese character recognition.
LIU Lu, SUN Wei-wei, DING Bo
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Handwritten Character Recognition to Obtain Editable Text [PDF]
E3S Web of Conferences, 2023 Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs in a computerized picture.
Pravalika Jella +3 more
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CNN-Based Optical Character Recognition for Isolated Printed Gujarati Characters and Handwritten Numerals [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 Optical character recognition (OCR) technologies have made significant progress in the field of language recognition. Gujarati is a more difficult language to recognize compared to other languages because of curves, close loops, the inclusion of ...
Sanket B. Suthar, Amit R. Thakkar
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Recognition of Off-Line Hand-Written Alphabets Using Knowledge-Based Computational Intelligence
Pakistan Journal of Engineering & Technology, 2019 The handwritten character recognition is considered an active recognition problem under the field of image processing and pattern recognition. Both area of research has gained so much popularity in few last years due to technology advancements and ...
Muhammad Hasseb, Ghulam Abbas
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Recognition of Handwritten Character of Manipuri Script
Journal of Computers, 2010 In this paper a backpropagation neural network based handwritten characters (Mapum Mayek ) recognition system of Manipuri Script is investigated. This paper presents various steps involved in the recognition process. It begins with thresholding of gray level image into binarised image, then from the binarised image the character pattern is segmented ...
Tangkeshwar Thokchom +3 more
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Metrics and Models for Handwritten Character Recognition [PDF]
Statistical Science, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hastie, Trevor, Simard, Patrice Y.
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Convolutional Neural Networks for Handwritten Javanese Character Recognition
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2018 Convolutional neural network (CNN) is state-of-the-art method in object recognition task. Specialized for spatial input data type, CNN has special convolutional and pooling layers which enable hierarchical feature learning from the input space.
Chandra Kusuma Dewa +2 more
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The Challenges of Recognizing Offline Handwritten Chinese: A Technical Review
Applied Sciences, 2023 Offline handwritten Chinese recognition is an important research area of pattern recognition, including offline handwritten Chinese character recognition (offline HCCR) and offline handwritten Chinese text recognition (offline HCTR), which are closely ...
Lu Shen +5 more
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Recognition of Pashto Handwritten Characters Based on Deep Learning
Sensors, 2020 Handwritten character recognition is increasingly important in a variety of automation fields, for example, authentication of bank signatures, identification of ZIP codes on letter addresses, and forensic evidence.
Muhammad Sadiq Amin +2 more
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