Results 31 to 40 of about 1,196,582 (339)
IEEE Access, 2021 Graph-based methods have been widely used by the document image analysis and recognition community, as the different objects and the content in document images is best represented by this powerful structural representation. Designing of novel computation
Nadeem Iqbal Kajla +3 more
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Text Detection in Document Images: Highlight on using FAST algorithm [PDF]
, 2017 In recent years, text extraction from document images is one of the most widely studied topics in Image Analysis and Optical Character Recognition.
Mathur, G. (Geetika) +1 more
core +1 more source
Spotting Separator Points at Line Terminals in Compressed Document Images for Text-line Segmentation
, 2017 Line separators are used to segregate text-lines from one another in document image analysis. Finding the separator points at every line terminal in a document image would enable text-line segmentation.
Nagabhushan, P., R, Amarnath
core +1 more source
Towards a unified framework for identity documents analysis and recognition
Компьютерная оптика, 2022 Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and
K.B. Bulatov +3 more
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Deep learning for terahertz image denoising in nondestructive historical document analysis
Scientific Reports, 2022 Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta +11 more
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A step towards understanding paper documents [PDF]
, 1990 This report focuses on analysis steps necessary for a paper document processing. It is divided in three major parts: a document image preprocessing, a knowledge-based geometric classification of the image, and a expectation-driven text recognition.
Dengel, Andreas
core +2 more sources
An innovative document image binarization approach driven by the non-local p-Laplacian
EURASIP Journal on Advances in Signal Processing, 2022 Text image binarization is fairly a tedious task and a significant problem in document image analysis. This process, as a necessary pretreatment for noisy images with stains, non-uniform background, or degraded text characters, can successfully improve ...
Fatim Zahra Ait Bella +3 more
doaj +1 more source
FPGA-based point processing for denoising of the show-through effect in scanned document images
Journal of King Saud University: Computer and Information Sciences, 2023 Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR).
Habibunnisha Nazeer, Nedumaran Damodaran
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Adaptive Layout Analysis of Document Images [PDF]
, 2002 Layout analysis is the process of extracting a hierarchical structure describing the layout of a page. In the document processing system WISDOM++ the layout analysis is performed in two steps: firstly, the global analysis determines possible areas containing paragraphs, sections, columns, figures and tables, and secondly, the local analysis groups ...
MALERBA D. +2 more
openaire +1 more source