Results 21 to 30 of about 154,547 (310)

Digital libraries and document image analysis [PDF]

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2004
The rapid growth of digital libraries (DLs) worldwide poses many new challenges for document image analysis (DIA) research and development. DLs promise to offer more people access to larger document collections, and at far greater speed, than physical libraries can.
openaire   +1 more source

Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images

Applied Sciences, 2021
This paper presents a novel architecture for detecting mathematical formulas in document images, which is an important step for reliable information extraction in several domains. Recently, Cascade Mask R-CNN networks have been introduced to solve object
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal   +4 more
doaj   +1 more source

Evaluation of Gist Operator for Document Image Retrieval [PDF]

, 2018
As digitised documents normally contain a large variety of structures, a page segmentation- and layout-free method for document image retrieval is preferable.
Alaei, A, Pal, Umapada, Alaei, Fahimeh, Pal, U, Alaei, Ali Reza, Alaei, F, Alaei, Alireza, Blumenstein, Michael, Blumenstein, M   +8 more
core   +1 more source

Direct Tensor Voting in line segmentation of handwritten documents [PDF]

International Journal of Electronics and Telecommunications
In the vast archives and libraries of the world, countless historical documents are tucked away, often difficult to access. Thankfully, the digitization process has made it easier to view these invaluable records.
Tomasz Babczyński, Roman Ptak
doaj   +3 more sources

A Novel Adaptive Deskewing Algorithm for Document Images

Sensors, 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, Cihui Yang, Shiping Wen, Mengjie Zeng, Jianyong Guo, Jingting Zhong, Xingmiao Xu   +6 more
doaj   +1 more source

Efficient document image binarization using heterogeneous computing and parameter tuning [PDF]

, 2018
In the context of historical document analysis, image binarization is a first important step, which separates foreground from background, despite common image degradations, such as faded ink, stains, or bleed-through.
Lavesson, Niklas, Håkan Grahn, Florian Westphal, Niklas Lavesson, Westphal, Florian, Grahn, Håkan, Grahn, Håkan,, Westphal, Florian,, Lavesson, Niklas,   +8 more
core   +1 more source

Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

Elektronika 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, Lahcene Ziet, Saad Bouguezel   +2 more
doaj   +1 more source

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

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, Malik Muhammad Saad Missen, Muhammad Muzzamil Luqman, Mickael Coustaty   +3 more
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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, P.V. Bezmaternykh, D.P. Nikolaev, V.V. Arlazarov   +3 more
doaj   +1 more source

Document Image Binarization Using Recurrent Neural Networks

, 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, Florian Westphal, Hakan Grahn, Niklas Lavesson, Westphal, Florian, Grahn, Håkan, Grahn, Håkan,, Westphal, Florian,, Lavesson, Niklas,   +8 more
core   +1 more source