Optical Character Recognition Systems for Different Languages with Soft Computing
Published on 23. December 2016
XIX, 248 pages
978-3-319-50252-6 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIX, 248 p. 95 illus.
File size
9,87 MB
ISBN-13
978-3-319-50252-6 (9783319502526)
DOI
10.1007/978-3-319-50252-6
Schweitzer Classification
Other editions
Additional editions
Arindam Chaudhuri | Krupa Mandaviya | Pratixa Badelia
Optical Character Recognition Systems for Different Languages with Soft Computing
Book
01/2017
Springer
€160.49
Shipment within 10-15 days
Content
1 Introduction.-2 Optical Character Recognition Systems.-3 Soft Computing Techniques for Optical Character Recognition Systems.-4 Optical Character Recognition Systems for English language.-5 Optical Character Recognition Systems for French language.-6 Optical Character Recognition Systems for German language.-7 Optical Character Recognition Systems for Latin language.-8 Optical Character Recognition Systems for Hindi language.-9 Optical Character Recognition Systems for Gujrati language.-10 Summary and Future Research.-Index.
