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Mac Akmal Jahan (19 results)
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Condition: As New. Unread book in perfect condition.
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Document Image Analysis: Table Detection, Analysis And Format Preservation
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Document Image Analysis: Table Detection, Analysis And Format Preservation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: new. Paperback. While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. This gap highlighted the need for comprehensive solutions that recognize text and accurately detect and reconstruct tables and other graphical components. Our collaborative research efforts, extensive experiments, and continuous learning have culminated in developing the algorithms presented in this book, a testament to the power of teamwork in overcoming challenges. The book is structured to provide a thorough understanding of the problem domain, existing techniques, and our proposed solutions. We begin with an introduction to the challenges of digitizing printed documents, highlighting the limitations of current OCR methods and the need for advanced table detection and recognition algorithms. Subsequent chapters delve into detailed surveys of existing techniques, followed by a comprehensive presentation of our algorithms. We also explore the application of our enhanced algorithm in various scenarios, showcasing its robustness and effectiveness. While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Document Image Analysis: Table Detection, Analysis And Format Preservation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: New.
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Paperback. Condition: new. Paperback. While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. This gap highlighted the need for comprehensive solutions that recognize text and accurately detect and reconstruct tables and other graphical components. Our collaborative research efforts, extensive experiments, and continuous learning have culminated in developing the algorithms presented in this book, a testament to the power of teamwork in overcoming challenges. The book is structured to provide a thorough understanding of the problem domain, existing techniques, and our proposed solutions. We begin with an introduction to the challenges of digitizing printed documents, highlighting the limitations of current OCR methods and the need for advanced table detection and recognition algorithms. Subsequent chapters delve into detailed surveys of existing techniques, followed by a comprehensive presentation of our algorithms. We also explore the application of our enhanced algorithm in various scenarios, showcasing its robustness and effectiveness. While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Document Image Analysis
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New.
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Paperback. Condition: new. Paperback. While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. This gap highlighted the need for comprehensive solutions that recognize text and accurately detect and reconstruct tables and other graphical components. Our collaborative research efforts, extensive experiments, and continuous learning have culminated in developing the algorithms presented in this book, a testament to the power of teamwork in overcoming challenges. The book is structured to provide a thorough understanding of the problem domain, existing techniques, and our proposed solutions. We begin with an introduction to the challenges of digitizing printed documents, highlighting the limitations of current OCR methods and the need for advanced table detection and recognition algorithms. Subsequent chapters delve into detailed surveys of existing techniques, followed by a comprehensive presentation of our algorithms. We also explore the application of our enhanced algorithm in various scenarios, showcasing its robustness and effectiveness. While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: New.
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Paperback. Condition: New.
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Document Image Analysis
Published by Universal-Publishers.com, 2024
ISBN 10: 1599427273 ISBN 13: 9781599427270
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Document Image Analysis
Published by Universal-Publishers.com, 2024
ISBN 10: 1599427273 ISBN 13: 9781599427270
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Taschenbuch. Condition: Neu. Document Image Analysis | Table Detection, Analysis And Format Preservation | Akmal Jahan Mac (u. a.) | Taschenbuch | Englisch | 2024 | Brown Walker Press | EAN 9781599427270 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. This gap highlighted the need for comprehensive solutions that recognize text and accurately detect and reconstruct tables and other graphical components. Our collaborative research efforts, extensive experiments, and continuous learning have culminated in developing the algorithms presented in this book, a testament to the power of teamwork in overcoming challenges.The book is structured to provide a thorough understanding of the problem domain, existing techniques, and our proposed solutions. We begin with an introduction to the challenges of digitizing printed documents, highlighting the limitations of current OCR methods and the need for advanced table detection and recognition algorithms. Subsequent chapters delve into detailed surveys of existing techniques, followed by a comprehensive presentation of our algorithms. We also explore the application of our enhanced algorithm in various scenarios, showcasing its robustness and effectiveness.
