Results 51 to 60 of about 39,490,265 (332)

Dewarping Document Image by Displacement Flow Estimation with Fully Convolutional Network [PDF]

open access: yesInternational Workshop on Document Analysis Systems, 2020
As camera-based documents are increasingly used, the rectification of distorted document images becomes a need to improve the recognition performance. In this paper, we propose a novel framework for both rectifying distorted document image and removing ...
Guo-Wang Xie   +3 more
semanticscholar   +1 more source

ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts

open access: yesInternational Conference on Frontiers in Handwriting Recognition, 2018
This paper presents the results of the Competition on Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts that was organized in the context of the 16th International Conference on Frontiers in Handwriting Recognition (ICFHR-2018). For
M. W. A. Kesiman   +8 more
semanticscholar   +1 more source

Document expansion for image retrieval [PDF]

open access: yes, 2010
Successful information retrieval requires effective matching between the user's search request and the contents of relevant documents. Often the request entered by a user may not use the same topic relevant terms as the authors' of the documents.
Min, Jinming   +3 more
core   +4 more sources

A Novel Adaptive Deskewing Algorithm for Document Images

open access: yesSensors, 2022
Document scanning often suffers from skewing, which may seriously influence the efficiency of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed document before document image information analysis.
Wuzhida Bao   +6 more
doaj   +1 more source

Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

open access: yesElektronika ir Elektrotechnika, 2018
In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and ...
Mehdi Khitas   +2 more
doaj   +1 more source

A ConvNeXt V2 Approach to Document Image Analysis: Enhancing High-Accuracy Classification

open access: yes2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS)
Proper classification of documents is of tremendous importance for an organization. As digital copies of documents are now available due to technological advances, it has become convenient to classify them automatically using machine learning or deep ...
Md Saiful Islam Sajol   +3 more
semanticscholar   +1 more source

Graph Neural Networks Using Local Descriptions in Attributed Graphs: An Application to Symbol Recognition and Hand Written Character Recognition

open access: yesIEEE 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
doaj   +1 more source

Adaptive Layout Analysis of Document Images [PDF]

open access: yes, 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

Towards a unified framework for identity documents analysis and recognition

open access: yesКомпьютерная 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
doaj   +1 more source

Document Image Binarization Using Recurrent Neural Networks

open access: yes, 2018
In the context of document image analysis, image binarization is an important preprocessing step for other document analysis algorithms, but also relevant on its own by improving the readability of images of historical documents.
Lavesson, Niklas   +8 more
core   +1 more source

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