000 | 03285nam a22005895i 4500 | ||
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001 | 978-3-319-50252-6 | ||
003 | DE-He213 | ||
005 | 20220801215113.0 | ||
007 | cr nn 008mamaa | ||
008 | 161223s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319502526 _9978-3-319-50252-6 |
||
024 | 7 |
_a10.1007/978-3-319-50252-6 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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_aTEC009000 _2bisacsh |
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_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aChaudhuri, Arindam. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942362 |
|
245 | 1 | 0 |
_aOptical Character Recognition Systems for Different Languages with Soft Computing _h[electronic resource] / _cby Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
300 |
_aXIX, 248 p. 95 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1860-0808 ; _v352 |
|
520 | _aThe 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 |
_aComputational intelligence. _97716 |
|
650 | 0 |
_aPattern recognition systems. _93953 |
|
650 | 0 |
_aComputational linguistics. _96146 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
650 | 2 | 4 |
_aComputational Linguistics. _96146 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aMandaviya, Krupa. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942363 |
|
700 | 1 |
_aBadelia, Pratixa. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942364 |
|
700 | 1 |
_aK Ghosh, Soumya. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942365 |
|
710 | 2 |
_aSpringerLink (Online service) _942366 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319502519 |
776 | 0 | 8 |
_iPrinted edition: _z9783319502533 |
776 | 0 | 8 |
_iPrinted edition: _z9783319843575 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1860-0808 ; _v352 _942367 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-50252-6 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c77114 _d77114 |