Document Layout Analysis
Bhowmik, Showmik.
Document Layout Analysis [electronic resource] / by Showmik Bhowmik. - 1st ed. 2023. - VIII, 86 p. 1 illus. online resource. - SpringerBriefs in Computer Science, 2191-5776 . - SpringerBriefs in Computer Science, .
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.
9789819942770
10.1007/978-981-99-4277-0 doi
Image processing.
Pattern recognition systems.
Machine learning.
Image Processing.
Automated Pattern Recognition.
Machine Learning.
TA1637-1638
621.382
Document Layout Analysis [electronic resource] / by Showmik Bhowmik. - 1st ed. 2023. - VIII, 86 p. 1 illus. online resource. - SpringerBriefs in Computer Science, 2191-5776 . - SpringerBriefs in Computer Science, .
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.
9789819942770
10.1007/978-981-99-4277-0 doi
Image processing.
Pattern recognition systems.
Machine learning.
Image Processing.
Automated Pattern Recognition.
Machine Learning.
TA1637-1638
621.382