OPAC

Document Layout Analysis / by Showmik Bhowmik
(SpringerBriefs in Computer Science. ISSN:21915776)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
大きさ	VIII, 86 p. 1 illus : online resource
著者標目	*Bhowmik, Showmik author SpringerLink (Online service)

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002430	Computer Scinece R0 2005-6,2022-3				9789819942770

一般注記	Chapter 1. Introduction -- Chapter 2. Binarization -- Chapter 3. Document Region Segmentation -- Chapter 4. Document Region Classification -- Chapter 5. Case Study -- Chapter 6. Summary. Document 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 HTTP:URL=https://doi.org/10.1007/978-981-99-4277-0
件　名	LCSH:Image processing LCSH:Pattern recognition systems LCSH:Machine learning FREE:Image Processing FREE:Automated Pattern Recognition FREE:Machine Learning
分　類	LCC:TA1637-1638 DC23:621.382
書誌ID	EB00001818
ISBN	9789819942770