Optical Character Recognition Systems for Different Languages with Soft Computing (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 352
Release date:	2017
First published:	2017
Authors:	Arindam Chaudhuri • Krupa Mandaviya • Pratixa Badelia • Soumya K. Ghosh
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	248
Edition:	1st ed. 2017
ISBN-13:	978-3-319-50251-9
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	3-319-50251-4
Barcode:	9783319502519

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