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Optical Character Recognition Systems for Different Languages with Soft Computing: 352 (Studies in Fuzziness and Soft Computing) - Tapa dura
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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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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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Optical Character Recognition Systems for Different Languages with Soft Computing
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Springer International Publishing, 2017
ISBN 10: 3319502514
ISBN 13: 9783319502519
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Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing, 352)
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Optical Character Recognition Systems for Different Languages with Soft Computing
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Springer International Publishing, Springer International Publishing Jan 2017, 2017
ISBN 10: 3319502514
ISBN 13: 9783319502519
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 268 pp. Englisch. Nº de ref. del artículo: 9783319502519
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Optical Character Recognition Systems for Different Languages with Soft Computing
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Springer International Publishing, 2017
ISBN 10: 3319502514
ISBN 13: 9783319502519
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319502519
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Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing, 352)
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Optical Character Recognition Systems for Different Languages with Soft Computing
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Springer International Publishing, Springer International Publishing Jan 2017, 2017
ISBN 10: 3319502514
ISBN 13: 9783319502519
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch. Nº de ref. del artículo: 9783319502519
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