Authors:
- Describes novel soft-computing methods developed by the authors
- Highlights the advantages of soft computing models for optical character recognition (OCR) systems in comparison to traditional methods
- Includes various case studies involving different languages
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 352)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Samsung R&D Institute Delhi , Noida, India
Arindam Chaudhuri
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MEFGI Engineering College , Rajkot, India
Krupa Mandaviya, Pratixa Badelia
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Department of Computer Science Engineeri, Indian Institute of Technology Department of Computer Science Engineeri, Kharagpur, India
Soumya K Ghosh
Bibliographic Information
Book Title: Optical Character Recognition Systems for Different Languages with Soft Computing
Authors: Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-50252-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-50251-9Published: 03 January 2017
Softcover ISBN: 978-3-319-84357-5Published: 07 July 2018
eBook ISBN: 978-3-319-50252-6Published: 23 December 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIX, 248
Number of Illustrations: 95 b/w illustrations
Topics: Computational Intelligence, Pattern Recognition, Computational Linguistics, Artificial Intelligence