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999			_c398194 _d398194 _x1
001			398194
003			ES-MaUEC
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007			cr nn 008mamaa
008			230731s2023 si | o |||| 0|eng d
020			_a9789819942770
024	7		_a10.1007/978-981-99-4277-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2023 EB
100	1		_aBhowmik, Showmik _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689572
245	1	0	_aDocument Layout Analysis _cby Showmik Bhowmik
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
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		_aSpringerBriefs in Computer Science _x2191-5776
505	0		_aChapter 1. Introduction -- Chapter 2. Binarization -- Chapter 3. Document Region Segmentation -- Chapter 4. Document Region Classification -- Chapter 5. Case Study -- Chapter 6. Summary.
520			_aDocument layout analysis (DLA) is a crucial step towards the development of an effective document image processing system. In the early days of document image processing, DLA was not considered as a complete and complex research problem, rather just a pre-processing step having some minor challenges. The main reason for that is the type of layout being considered for processing was simple. Researchers started paying attention to this complex problem as they come across a large variety of documents. This book presents a clear view of the past, present, and future of DLA, and it also discusses two recent methods developed to address the said problem.
988			_aSpringer_Computer_2023
650		7	_2embne _9413188 _aProceso digital de imágenes
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-4277-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _ek _zSI