Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing (352), Band 352)
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.
Yazar | Arindam Chaudhuri |
---|---|
Yayın Evi | Springer; 1st ed. 2017 basım |
tarafından gönderildi | 3 Ocak 2017 |
KOMİSYON Kolektif Peter Lang GmbH, Internationaler Verlag der Wissenschaften 4 Ocak 2017 Springer 5 Ocak 2017 Cambridge University Press 3 Ocak 2017 Springer Varios Autores Forgotten Books John Wiley & Sons Inc Cambridge University Press 1 Ocak 2017 Kollektif 18 Haziran 2018 1 Ocak 2018 Adalet Yayınevi
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Baskı Detayları
Yazar | Arindam Chaudhuri Krupa Mandaviya Pratixa Badelia Soumya K Ghosh |
---|---|
İsbn 10 | 3319502514 |
İsbn 13 | 978-3319502519 |
Yayın Evi | Springer; 1st ed. 2017 basım |
Dil | İngilizce |
tarafından gönderildi Optical Character Recognition Systems for Different Languages with Soft Computing (Studies in Fuzziness and Soft Computing (352), Band 352) | 3 Ocak 2017 |
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