Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing, Band 352) - Softcover

Buch 120 von 183: Studies in Fuzziness and Soft Computing

Chaudhuri, Arindam

 
9783319843575: Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing, Band 352)
Softcover
ISBN 10: 3319843575 ISBN 13: 9783319843575
Verlag: Springer, 2018

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Arindam Chaudhuri is currently working as Principal Data Scientist at the Samsung R & D Institute in Delhi, India. He has worked in industry, research, and academics in the domain of machine learning for the past 19 years. His current research interests include pattern recognition, machine learning, soft computing, optimization, and big data. He received his M.Tech and PhD in Computer Science from Jadavpur University, Kolkata, India and Netaji Subhas University, Kolkata, India in 2005 and 2011 respectively. He has published three research monographs and over 45 articles in international journals and conference proceedings.

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319843575
ISBN 13 
9783319843575
Einband
Taschenbuch
Anzahl der Seiten
268
Kontakt zum Hersteller
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ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783319502519: Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing, 352, Band 352)

Vorgestellte Ausgabe

ISBN 10:  3319502514 ISBN 13:  9783319502519
Verlag: Springer, 2017
Hardcover