Document-Image Related Visual Sensors and Machine Learning Techniques

This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approac...

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Έκδοση: MDPI - Multidisciplinary Digital Publishing Institute 2023
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collection Directory of Open Access Books
description This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
format Online
id doab-20.500.12854ir-98112
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-981122024-03-28T03:32:45Z Document-Image Related Visual Sensors and Machine Learning Techniques Kyamakya, Kyandoghere Al-Machot, Fadi Mosa, Ahmad Haj Chedjou, Jean Chamberlain feature learning incomplete multimedia data fuzzy c-means variational autoencoder multispectral imaging document scanning portable sensor depth image filtering point clouds filtering Kinect v2 depth resolution close range hand pose image binarization optical character recognition document images local thresholding image pre-processing natural images scene text recognition visual sensor text position correction encoder-decoder network chart recognition deep learning visualization classification detection perspective correction house architecture type classification house type classification convolutional neural networks document classification feature selection data augmentation imbalanced dataset scene text detection multiple scales n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering. 2023-03-07T16:34:42Z 2023-03-07T16:34:42Z 2023 book ONIX_20230307_9783036530260_122 9783036530260 9783036530277 https://directory.doabooks.org/handle/20.500.12854/98112 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6885 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3027-7 10.3390/books978-3-0365-3027-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036530260 9783036530277 166 Basel open access
spellingShingle feature learning
incomplete multimedia data
fuzzy c-means
variational autoencoder
multispectral imaging
document scanning
portable sensor
depth image filtering
point clouds filtering
Kinect v2
depth resolution
close range
hand pose
image binarization
optical character recognition
document images
local thresholding
image pre-processing
natural images
scene text recognition
visual sensor
text position correction
encoder-decoder network
chart recognition
deep learning
visualization
classification
detection
perspective correction
house architecture type classification
house type classification
convolutional neural networks
document classification
feature selection
data augmentation
imbalanced dataset
scene text detection
multiple scales
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PH Physics
Document-Image Related Visual Sensors and Machine Learning Techniques
title Document-Image Related Visual Sensors and Machine Learning Techniques
title_full Document-Image Related Visual Sensors and Machine Learning Techniques
title_fullStr Document-Image Related Visual Sensors and Machine Learning Techniques
title_full_unstemmed Document-Image Related Visual Sensors and Machine Learning Techniques
title_short Document-Image Related Visual Sensors and Machine Learning Techniques
title_sort document image related visual sensors and machine learning techniques
topic feature learning
incomplete multimedia data
fuzzy c-means
variational autoencoder
multispectral imaging
document scanning
portable sensor
depth image filtering
point clouds filtering
Kinect v2
depth resolution
close range
hand pose
image binarization
optical character recognition
document images
local thresholding
image pre-processing
natural images
scene text recognition
visual sensor
text position correction
encoder-decoder network
chart recognition
deep learning
visualization
classification
detection
perspective correction
house architecture type classification
house type classification
convolutional neural networks
document classification
feature selection
data augmentation
imbalanced dataset
scene text detection
multiple scales
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PH Physics
topic_facet feature learning
incomplete multimedia data
fuzzy c-means
variational autoencoder
multispectral imaging
document scanning
portable sensor
depth image filtering
point clouds filtering
Kinect v2
depth resolution
close range
hand pose
image binarization
optical character recognition
document images
local thresholding
image pre-processing
natural images
scene text recognition
visual sensor
text position correction
encoder-decoder network
chart recognition
deep learning
visualization
classification
detection
perspective correction
house architecture type classification
house type classification
convolutional neural networks
document classification
feature selection
data augmentation
imbalanced dataset
scene text detection
multiple scales
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PH Physics
url ONIX_20230307_9783036530260_122