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001			95151
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006			m o d
007			cr |n|||||||||
008			170106s2017 sz ob 001 0 eng d
020			_a3319502522 _q(electronic bk.)
020			_a9783319502526 _q(electronic bk.)
020			_z3319502514
020			_z9783319502519
035			_a(OCoLC)967720251 _z(OCoLC)971043222 _z(OCoLC)971067796 _z(OCoLC)974650097 _z(OCoLC)1005773688 _z(OCoLC)1011849503
040			_aYDX _cYDX _dAZU _dGW5XE _dOCLCF _dUAB _dCOO _dOCLCQ _dUPM _dIOG _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dVT2 _dU3W _dES-MaUEC _bspa
050		4	_aQ342 _b.O685 2017 EB
245	0	0	_aOptical character recognition systems for different languages with soft computing _cArindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh.
264		1	_aCham, Switzerland _bSpringer _c2017
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in fuzziness and soft computing _vvolume 352
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
520	3		_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		7	_aInteligencia artificial _2embne _0(OCoLC)fst00817247 _0 _9413115
700	1		_aBadelia, Pratixa.
700	1		_aChaudhuri, Arindam _997891
700	1		_aGhosh, Soumya K. _997892
700	1		_aMandaviya, Krupa.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-50252-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017B
998			_b02/2018 _dz _e- _zSI
999			_c95151 _d95151 _x1