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, G...
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| Other Authors | , , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Studies in fuzziness and soft computing ;
v. 352. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319502526 9783319502519 |
| Physical Description | 1 online resource |
Cover
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| 245 | 0 | 0 | |a Optical character recognition systems for different languages with soft computing / |c Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh. |
| 260 | |a Cham, Switzerland : |b Springer, |c 2017. | ||
| 300 | |a 1 online resource | ||
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| 490 | 1 | |a Studies in fuzziness and soft computing ; |v volume 352 | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a 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. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a SpringerLink |b Springer Complete eBooks | ||
| 650 | 0 | |a Optical character recognition. | |
| 650 | 0 | |a Soft computing. | |
| 650 | 0 | |a Engineering. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Pattern perception. | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Computational intelligence. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Chaudhuri, Arindam. | |
| 700 | 1 | |a Mandaviya, Krupa. | |
| 700 | 1 | |a Badelia, Pratixa. | |
| 700 | 1 | |a Ghosh, Soumya K. | |
| 776 | 0 | 8 | |i Print version: |t Optical character recognition systems for different languages with soft computing. |d Cham, Switzerland : Springer, 2017 |z 3319502514 |z 9783319502519 |w (OCoLC)962009187 |
| 830 | 0 | |a Studies in fuzziness and soft computing ; |v v. 352. | |
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