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Optical character recognition system...

Chaudhuri, Arindam.

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Optical character recognition systems for different languages with soft computing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optical character recognition systems for different languages with soft computing/ by Arindam Chaudhuri ... [et al.].
other author:	Chaudhuri, Arindam.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xix, 248 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Optical character recognition. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-50252-6
ISBN:	9783319502526

Optical character recognition systems for different languages with soft computing
Optical character recognition systems for different languages with soft computing[electronic resource] /by Arindam Chaudhuri ... [et al.]. - Cham :Springer International Publishing :2017. - xix, 248 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3521434-9922 ;. - Studies in fuzziness and soft computing ;v.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.

ISBN: 9783319502526

Standard No.: 10.1007/978-3-319-50252-6doiSubjects--Topical Terms:

1619729
Optical character recognition.

LC Class. No.: Q342

Dewey Class. No.: 006.424

Optical character recognition systems for different languages with soft computing
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245 0 0 $a Optical character recognition systems for different languages with soft computing $h [electronic resource] / $c by Arindam Chaudhuri ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xix, 248 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.352
520 $a 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.
650 0 $a Optical character recognition. $3 1619729
650 0 $a Soft computing. $3 563033
650 0 $a Engineering. $3 586835
650 0 $a Artificial intelligence. $3 516317
650 0 $a Pattern perception. $3 649387
650 0 $a Computational linguistics. $3 606540
650 0 $a Computational intelligence. $3 595739
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Computational Linguistics. $3 893900
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Chaudhuri, Arindam. $3 2180020
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.352. $3 3219577
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-50252-6
950 $a Engineering (Springer-11647)