Optical Character Recognition of Old Manuscripts Using Artificial Intelligence (Paperback)
Language: English
Published by Nala Kala, 2026
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 29.99
Quantity: 1 available
Add to basketItem description from seller
Paperback. Optical Character Recognition of Old Manuscripts Using Artificial Intelligence delivers a comprehensive computational treatment of automated text extraction, document image restoration, and pattern recognition for historical and degraded codices. As cultural heritage institutions digitize physical archives, processing historical manuscripts presents severe technical obstacles, including non-standard typography, ink bleed-through, parchment distortion, and variable layout structures. This monograph establishes the theoretical foundations, algorithmic pipelines, and neural network architectures required to convert complex historical script images into machine-readable digital text.The volume details preprocessing methodologies, non-linear noise reduction, layout analysis, line segmentation algorithms, and multi-scale feature extraction tailored to historical artifacts. It examines optical character recognition frameworks utilizing convolutional neural networks, recurrent neural architectures, transformer models, and vision-language integration. Designed for computer vision engineers, artificial intelligence researchers, document processing specialists, and computational humanities scholars, this text delivers rigorous methodologies to enhance transcription accuracy, automate archive indexing, and preserve historical documents. A technical guide detailing artificial intelligence models, computer vision algorithms, and neural networks for optical character recognition of historical manuscripts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9798182724678
- Title
- Optical Character Recognition of Old Manuscripts Using Artificial Intelligence (Paperback)
- Author
- Thomas Edison
- Publisher
- Nala Kala
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798182724678
Optical Character Recognition of Old Manuscripts Using Artificial Intelligence delivers a comprehensive computational treatment of automated text extraction, document image restoration, and pattern recognition for historical and degraded codices. As cultural heritage institutions digitize physical archives, processing historical manuscripts presents severe technical obstacles, including non-standard typography, ink bleed-through, parchment distortion, and variable layout structures. This monograph establishes the theoretical foundations, algorithmic pipelines, and neural network architectures required to convert complex historical script images into machine-readable digital text.
The volume details preprocessing methodologies, non-linear noise reduction, layout analysis, line segmentation algorithms, and multi-scale feature extraction tailored to historical artifacts. It examines optical character recognition frameworks utilizing convolutional neural networks, recurrent neural architectures, transformer models, and vision-language integration. Designed for computer vision engineers, artificial intelligence researchers, document processing specialists, and computational humanities scholars, this text delivers rigorous methodologies to enhance transcription accuracy, automate archive indexing, and preserve historical documents.
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CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
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