Results 11 to 20 of about 156,133 (264)
Local Water-Filling Algorithm for Shadow Detection and Removal of Document Images
Sensors, 2020 Shadow detection and removal is an important task for digitized document applications. It is hard for many methods to distinguish shadow from printed text due to the high darkness similarity.
Bingshu Wang, C. L. Philip Chen
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Document image analysis and recognition: a survey
Компьютерная оптика, 2022 This paper analyzes the problems of document image recognition and the existing solutions. Document recognition algorithms have been studied for quite a long time, but despite this, currently, the topic is relevant and research continues, as evidenced by
V.V. Arlazarov +6 more
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Voting-Based Document Image Skew Detection
Applied Sciences, 2020 Optical Character Recognition (OCR) is an indispensable tool for technology users nowadays, as our natural language is presented through text. We live under the need of having information at hand in every circumstance and, at the same time, having ...
Costin-Anton Boiangiu +4 more
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Warped Document Image Correction Based on Checkboard Pattern and Geometric Transformation [PDF]
IJCI International Journal of Computers and Information, 2021 — Document image warping problem refers to the process of geometrically transforming 2D images. In this work we aim to solve the warped document image problems.
mina ibrahim, Khalid Amin, Marian Labib
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Self-Supervised Representation Learning for Document Image Classification
IEEE Access, 2021 Supervised learning, despite being extremely effective, relies on expensive, time-consuming, and error-prone annotations. Self-supervised learning has recently emerged as a strong alternate to supervised learning in a range of different domains as ...
Shoaib Ahmed Siddiqui +2 more
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Unsupervised Exemplar-Based Learning for Improved Document Image Classification
IEEE Access, 2019 Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data.
Sherif Abuelwafa +2 more
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FADIT: Fast Document Image Thresholding
Algorithms, 2020 We propose a fast document image thresholding method (FADIT) and evaluations of the two classic methods for demonstrating the effectiveness of FADIT. We put forward two assumptions: (1) the probability of the occurrence of grayscale text and background ...
Yufang Min, Yaonan Zhang
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U-Net-bin: hacking the document image binarization contest [PDF]
Компьютерная оптика, 2019 Image binarization is still a challenging task in a variety of applications. In particular, Document Image Binarization Contest (DIBCO) is organized regularly to track the state-of-the-art techniques for the historical document binarization. In this work
Pavel Bezmaternykh +2 more
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Blur2Sharp: A GAN-Based Model for Document Image Deblurring
International Journal of Computational Intelligence Systems, 2021 The advances in mobile technology and portable cameras have facilitated enormously the acquisition of text images. However, the blur caused by camera shake or out-of-focus problems may affect the quality of acquired images and their use as input for ...
Hala Neji +4 more
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LATE ANTIQUITY: IMAGE AND DOCUMENT
Heródoto, 2016 The article begins with a description of iconography as historical document. Image in Antiquity had a specific function: to present to a particular social group, mostly illiterate, something that represented the edge of power.
Cláudio Umpierre Carlan
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