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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Bibliographic Details
Other Authors: Chaudhuri, Arindam., Mandaviya, Krupa., Badelia, Pratixa., Ghosh, Soumya K.
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Studies in fuzziness and soft computing ; v. 352.
Subjects:
Optical character recognition.
Soft computing.
Engineering.
Artificial intelligence.
Pattern perception.
Computational linguistics.
Computational intelligence.
elektronické knihy
electronic books
ISBN: 9783319502526
9783319502519
Physical Description: 1 online resource

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020 |a 9783319502526  |q (electronic bk.) 
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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 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
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. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-50252-6  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99693  |d 99693 
993 |x NEPOSILAT  |y EIZ 

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