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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07855-z
Abstract: Automatic text recognition in document images is an important task in many real-world applications. Several systems have been proposed to accomplish this task. However, a little attention has been given to document images obtained by…
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Keywords:
recognition;
document;
document images;
neural network ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2945825
Abstract: A detection method for mathematical expressions in scientific document images is proposed. Inspired by the promising performance of U-Net, a convolutional network architecture originally proposed for the semantic segmentation of biomedical images, the proposed method…
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Keywords:
scientific document;
document;
mathematical expressions;
dataset ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2992067
Abstract: Mathematical expressions have been widely used in scientific documents. In order to analyze the documents, automatic detection of mathematical expressions is a crucial step. The paper presents a unified system for the detection of mathematical…
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Keywords:
hybrid method;
scientific document;
document;
mathematical expressions ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3192999
Abstract: In recent years, digital copies of paper documents are used widely with the prevalence of various online services. As a result, it is critical to validate the authenticity of the uploaded document images to protect…
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Keywords:
recaptured document;
document;
distortion;
document images ... See more keywords
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Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.6.063028
Abstract: Abstract. Document layout analysis, or zoning, is important for textual content analysis such as optical character recognition. Zoning document images such as digitized historical newspaper pages are challenging due to noise and quality of the…
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Keywords:
domain knowledge;
visual domain;
document images;
document ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10186460
Abstract: We propose a novel hybrid approach that fuses traditional computer vision techniques with deep learning models to detect figures and formulas from document images. The proposed approach first fuses the different computer vision based image…
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Keywords:
representation;
approach;
document images;
image ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11209528
Abstract: In this paper, a keyword detection scheme is proposed based on deep convolutional neural networks for personal information protection in document images. The proposed scheme is composed of key character detection and lexicon analysis. The…
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Keywords:
retinanet;
detection;
keyword detection;
document images ... See more keywords