Results 51 to 60 of about 1,196,582 (339)

Document Image Layout Analysis Algorithm Based on Improved YOLOv8s

IEEE Access
Document layout analysis is a fundamental and critical task in the field of document understanding and digital transformation, playing an irreplaceable role in scenarios such as intelligent office automation, digitization of ancient books, and knowledge ...
You Jing, Gu Heng, Wang Zhirong, Yang Yuhua   +3 more
doaj   +1 more source

Analysis of Hyperspectral Data to Develop an Approach for Document Images

Sensors, 2023
Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications.
Zainab Zaman, Saad Bin Ahmed, Muhammad Imran Malik   +2 more
doaj   +1 more source

Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents

, 2014
Document Image Analysis, like any Digital Image Analysis requires identification and extraction of proper features, which are generally extracted from uncompressed images, though in reality images are made available in compressed form for the reasons ...
Chaudhuri, B. B., Javed, Mohammed, Nagabhushan, P.   +2 more
core   +1 more source

Document analysis at DFKI. - Part 1: Image analysis and text recognition [PDF]

, 1995
Document analysis is responsible for an essential progress in office automation. This paper is part of an overview about the combined research efforts in document analysis at the DFKI.
Ali, Majdi Ben Hadj, Fein, Frank, Hönes, Frank, Jäger, Thorsten, Weigel, Achim   +4 more
core   +2 more sources

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source

HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images

Mathematics
Table detection in document images is a challenging problem due to diverse layouts, irregular structures, and embedded graphical elements. In this study, we present HTTD (Hierarchical Transformer for Table Detection), a cutting-edge model that combines a
Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang   +5 more
doaj   +1 more source

Semantic Document Image Classification Based on Valuable Text Pattern [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2011
Knowledge extraction from detected document image is a complex problem in the field of information technology. This problem becomes more intricate when we know, a negligible percentage of the detected document images are valuable.
Hossein Pourghassem, Mohammad sadegh Helforoush, Sabalan Daneshvar   +2 more
doaj  

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis [PDF]

, 2021
Zejiang Shen, Ruochen Zhang, Melissa Dell, Benjamin Charles Germain Lee, Jacob Carlson, Weining Li   +5 more
openalex   +1 more source

Camera-Captured Document Image Analysis [PDF]

, 2011
Text is no longer confined to scanned pages and often appears in camera-based images originating from text on real world objects. Unlike the images from conventional flatbed scanners, which have a controlled acquisition environment, camera-based images ...
Kasar, Thotreingam
core   +1 more source

Screen Content Image Segmentation Using Sparse-Smooth Decomposition

, 2015
Sparse decomposition has been extensively used for different applications including signal compression and denoising and document analysis. In this paper, sparse decomposition is used for image segmentation.
Abdolrashidi, Amirali, Minaee, Shervin, Wang, Yao   +2 more
core   +1 more source