Document Layout Analysis [electronic resource] / by Showmik Bhowmik.
Tipo de material: TextoSeries SpringerBriefs in Computer ScienceEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: VIII, 86 p. 1 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819942770Tema(s): Image processing | Pattern recognition systems | Machine learning | Image Processing | Automated Pattern Recognition | Machine LearningFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TA1637-1638Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
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.
UABC ; Perpetuidad