โ Scribed by Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh (auth.)
No coin nor oath required. For personal study only.
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.
Front Matter....Pages i-xix
Introduction....Pages 1-7
Optical Character Recognition Systems....Pages 9-41
Soft Computing Techniques for Optical Character Recognition Systems....Pages 43-83
Optical Character Recognition Systems for English Language....Pages 85-107
Optical Character Recognition Systems for French Language....Pages 109-136
Optical Character Recognition Systems for German Language....Pages 137-164
Optical Character Recognition Systems for Latin Language....Pages 165-191
Optical Character Recognition Systems for Hindi Language....Pages 193-216
Optical Character Recognition Systems for Gujrati Language....Pages 217-240
Summary and Future Research....Pages 241-245
Back Matter....Pages 247-248
Computational Intelligence;Pattern Recognition;Computational Linguistics;Artificial Intelligence (incl. Robotics)
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