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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Detaylı Bibliyografya
Asıl Yazarlar: Chaudhuri, Arindam (Yazar), Mandaviya, Krupa (Yazar), Badelia, Pratixa (Yazar), K Ghosh, Soumya (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Fuzziness and Soft Computing, 352
Konular:
Computational intelligence.
Pattern recognition systems.
Computational linguistics.
Artificial intelligence.
Computational Intelligence.
Automated Pattern Recognition.
Computational Linguistics.
Artificial Intelligence.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XIX, 248 p. 95 illus. online resource.
ISBN:9783319502526
ISSN:1860-0808 ;
DOI:10.1007/978-3-319-50252-6

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