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3 books on OCR [PDF]
Updated: December 21, 2023 | 27 |
Books on Optical Character Recognition (OCR) are essential assets for OCR startups, offering profound insights and expertise in the realm of text and data extraction from images and documents. These resources provide comprehensive knowledge on OCR techniques, machine learning algorithms, and best practices, empowering startups to develop accurate and efficient OCR software solutions. They delve into the intricacies of image processing, language recognition, and data verification, enabling startups to create products that effectively transform printed or handwritten text into digital data. Furthermore, these books often include case studies and practical examples, offering guidance on customizing solutions to cater to diverse industries and use cases, from document management to augmented reality applications.
1. Optical Character Recognition Systems for Different Languages with Soft Computing
2016 by Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh
"This book presents an extensive examination of soft-computing models applied to optical character recognition (OCR) systems. The diverse range of techniques, including fuzzy and rough sets, artificial neural networks, and genetic algorithms, is rigorously tested using authentic texts from various languages such as English, French, German, Latin, Hindi, and Gujrati, sourced from publicly available datasets. The detailed simulation studies outlined in the book demonstrate that OCR systems modeled with soft computing consistently outperform traditional models. Geared towards postgraduates and researchers in pattern recognition, optical character recognition, and soft computing, this publication serves as a state-of-the-art survey. Professionals in computer vision and image processing will also find it valuable, addressing a spectrum of issues related to optical character recognition."
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2. Optical Character Recognition: An Illustrated Guide to the Frontier
2012 by Stephen V. Rice, George Nagy, Thomas A. Nartker
"Optical Character Recognition (OCR) stands as one of the most notable and successful applications of pattern recognition in the current landscape, marked by thousands of research papers and numerous OCR products. 'Optical Character Recognition: An Illustrated Guide to the Frontier' offers a unique perspective on the efficacy of contemporary OCR systems by visually showcasing and elucidating actual OCR errors. Through images and analysis, the book provides valuable insights into the strengths and weaknesses of existing OCR systems, offering a roadmap for future advancements in the field. Tailored for users and developers of OCR products, desktop scanners, as well as educators and students in pattern recognition, artificial intelligence, and information retrieval, the book's initial chapter compares the character recognition capabilities of humans and computers. Subsequent chapters meticulously present 280 illustrated examples of recognition errors, categorized into Imaging Defects, Similar Symbols, Punctuation, and Typography, drawn from extensive tests conducted by the authors. The concluding chapter explores potential approaches for enhancing the accuracy of contemporary systems, complemented by an annotated bibliography. 'Optical Character Recognition: An Illustrated Guide to the Frontier' serves as a valuable secondary text for graduate-level courses and a reference for researchers and practitioners in the industry."
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3. Handbook of Character Recognition and Document Image Analysis
1997 by Horst Bunke, Patrick Shen-pei Wang
"Optical character recognition and document image analysis have emerged as pivotal fields with a rapidly expanding community of researchers. This extensive handbook, featuring contributions from distinguished experts, encompasses both theoretical and practical aspects at an introductory level whenever feasible."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Optical Character Recognition Systems for Different Languages with Soft Computing
2016 by Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh
"This book presents an extensive examination of soft-computing models applied to optical character recognition (OCR) systems. The diverse range of techniques, including fuzzy and rough sets, artificial neural networks, and genetic algorithms, is rigorously tested using authentic texts from various languages such as English, French, German, Latin, Hindi, and Gujrati, sourced from publicly available datasets. The detailed simulation studies outlined in the book demonstrate that OCR systems modeled with soft computing consistently outperform traditional models. Geared towards postgraduates and researchers in pattern recognition, optical character recognition, and soft computing, this publication serves as a state-of-the-art survey. Professionals in computer vision and image processing will also find it valuable, addressing a spectrum of issues related to optical character recognition."
Download PDF
2. Optical Character Recognition: An Illustrated Guide to the Frontier
2012 by Stephen V. Rice, George Nagy, Thomas A. Nartker
"Optical Character Recognition (OCR) stands as one of the most notable and successful applications of pattern recognition in the current landscape, marked by thousands of research papers and numerous OCR products. 'Optical Character Recognition: An Illustrated Guide to the Frontier' offers a unique perspective on the efficacy of contemporary OCR systems by visually showcasing and elucidating actual OCR errors. Through images and analysis, the book provides valuable insights into the strengths and weaknesses of existing OCR systems, offering a roadmap for future advancements in the field. Tailored for users and developers of OCR products, desktop scanners, as well as educators and students in pattern recognition, artificial intelligence, and information retrieval, the book's initial chapter compares the character recognition capabilities of humans and computers. Subsequent chapters meticulously present 280 illustrated examples of recognition errors, categorized into Imaging Defects, Similar Symbols, Punctuation, and Typography, drawn from extensive tests conducted by the authors. The concluding chapter explores potential approaches for enhancing the accuracy of contemporary systems, complemented by an annotated bibliography. 'Optical Character Recognition: An Illustrated Guide to the Frontier' serves as a valuable secondary text for graduate-level courses and a reference for researchers and practitioners in the industry."
Download PDF
3. Handbook of Character Recognition and Document Image Analysis
1997 by Horst Bunke, Patrick Shen-pei Wang
"Optical character recognition and document image analysis have emerged as pivotal fields with a rapidly expanding community of researchers. This extensive handbook, featuring contributions from distinguished experts, encompasses both theoretical and practical aspects at an introductory level whenever feasible."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
