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Synopsis
Optical Character Recognition (OCR) utilizing neural networks is a transformative technology enabling the automatic extraction of text from images. By leveraging deep learning architectures such as Convolutional Neural Networks (CNNs) and recurrent networks like Long Short-Term Memory (LSTM) models, OCR systems can efficiently process complex visual data and accurately transcribe it into machine-readable text. This process involves training the neural network on labeled image-text pairs, enabling it to learn the intricate patterns and structures inherent in characters and words. Through iterative training and validation, the OCR model refines its ability to recognize text across various fonts, languages, and styles. Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility.
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Design of Optical Character Recognition Using Neural Network
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473973
ISBN 13: 9786207473977
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Design of Optical Character Recognition Using Neural Network
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473973
ISBN 13: 9786207473977
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Design of Optical Character Recognition Using Neural Network
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473973
ISBN 13: 9786207473977
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Design of Optical Character Recognition Using Neural Network
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ISBN 10: 6207473973
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch. Seller Inventory # 9786207473977
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Design of Optical Character Recognition Using Neural Network
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473973
ISBN 13: 9786207473977
New
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Optical Character Recognition (OCR) utilizing neural networks is a transformative technology enabling the automatic extraction of text from images. By leveraging deep learning architectures such as Convolutional Neural Networks (CNNs) and recurrent networks like Long Short-Term Memory (LSTM) models, OCR systems can efficiently process complex visual data and accurately transcribe it into machine-readable text. This process involves training the neural network on labeled image-text pairs, enabling it to learn the intricate patterns and structures inherent in characters and words. Through iterative training and validation, the OCR model refines its ability to recognize text across various fonts, languages, and styles. Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility. Seller Inventory # 9786207473977
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Design of Optical Character Recognition Using Neural Network
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LAP Lambert Academic Publishing, 2024
ISBN 10: 6207473973
ISBN 13: 9786207473977
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Optical Character Recognition (OCR) utilizing neural networks is a transformative technology enabling the automatic extraction of text from images. By leveraging deep learning architectures such as Convolutional Neural Networks (CNNs) and recurrent networks. Seller Inventory # 1580723649
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Design of Optical Character Recognition Using Neural Network
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ISBN 10: 6207473973
ISBN 13: 9786207473977
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -Optical Character Recognition (OCR) utilizing neural networks is a transformative technology enabling the automatic extraction of text from images. By leveraging deep learning architectures such as Convolutional Neural Networks (CNNs) and recurrent networks like Long Short-Term Memory (LSTM) models, OCR systems can efficiently process complex visual data and accurately transcribe it into machine-readable text. This process involves training the neural network on labeled image-text pairs, enabling it to learn the intricate patterns and structures inherent in characters and words. Through iterative training and validation, the OCR model refines its ability to recognize text across various fonts, languages, and styles. Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Seller Inventory # 9786207473977
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Design of Optical Character Recognition Using Neural Network
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207473973
ISBN 13: 9786207473977
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