Optical Character Recognition Technologies And Algorithms
Download Optical Character Recognition Technologies And Algorithms PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Optical Character Recognition Technologies And Algorithms book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Optical Character Recognition Technologies and Algorithms
"Optical Character Recognition Technologies and Algorithms" "Optical Character Recognition Technologies and Algorithms" presents a comprehensive exploration of the principles, methodologies, and advances underpinning OCR systems. The book starts with a thorough historical overview, delineating the progression of OCR technology from its foundational milestones to the sophisticated, context-aware solutions of today. Readers are introduced to the taxonomy of OCR systems, end-to-end workflows, benchmark datasets, and the critical challenges faced in processing multilingual, noisy, and complex textual data. The subsequent chapters delve deeply into every core layer of the OCR pipeline. Detailed discussions address document image acquisition, preprocessing, sophisticated segmentation, and structural analysis techniques required for robust text isolation and extraction. The book covers traditional handcrafted feature engineering as well as cutting-edge deep learning models for feature representation, and thoroughly examines classic and modern recognition algorithms, including template matching, statistical classifiers, HMMs, CNNs, RNNs, and transformer-based architectures. The integration of lexical and statistical language models, postprocessing strategies, and effective adaptation to multilingual and specialized domains are thoroughly addressed, equipping readers with a holistic view of the modern OCR landscape. Furthermore, the text investigates advanced topics such as handwriting recognition, scene text extraction, and robust handling of complex scripts and adversarial attacks. It offers practical guidance on deploying OCR systems at scale, covering modular design, cloud and edge deployments, hardware acceleration, and integration into enterprise environments while ensuring security and privacy. Rich with evaluation protocols, real-world industrial case studies, and insights into emerging trends and open research challenges, this book is an indispensable resource for practitioners, researchers, and engineers aiming to master OCR technologies and drive future innovations.
Optical Character Recognition Systems for Different Languages with Soft Computing
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.
Optical Character Recognition
Author: Stephen V. Rice
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress. Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography. Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.