Results 11 to 20 of about 159,963 (263)
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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A Document Image Generation Scheme Based on Face Swapping and Distortion Generation
IEEE Access, 2022 Nowadays, digital images are widely used in various services. The emergence of more and more image editing algorithms has made image forensic approaches to be severely challenged.
Gang Zhu, Yuting Ding, Lin Zhao
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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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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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Applied Sciences, 2022 In this paper, we propose a new convolutional neural network (CNN) architecture for improving document-image quality through decreasing the impact of distortions (i.e., blur, shadows, contrast issues, and noise) contained therein.
Kabeh Mohsenzadegan +2 more
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Language Identification in Document Images [PDF]
Journal of Imaging Science and Technology, 2016 This paper presents a system dedicated to automatic language identification of text regions in heterogeneous and complex documents. This system is able to process documents with mixed printed and handwritten text and various layouts. To handle such a problem, we propose a system that performs the following sub-tasks: writing type identification ...
Barlas, P +4 more
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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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