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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Format: E-Book
Sprache:Englisch
Veröffentlicht: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Schlagworte:
chart recognition
classification
close range
convolutional neural networks
data augmentation
deep learning
depth image filtering
depth resolution
detection
document classification
document images
document scanning
encoder-decoder network
feature learning
feature selection
fuzzy c-means
hand pose
house architecture type classification
house type classification
image binarization
image pre-processing
imbalanced dataset
incomplete multimedia data
Kinect v2
local thresholding
Mathematics and Science
multiple scales
multispectral imaging
n/a
natural images
optical character recognition
perspective correction
point clouds filtering
portable sensor
Reference, Information and Interdisciplinary subjects
Research and information: general
scene text detection
scene text recognition
text position correction
variational autoencoder
visual sensor
visualization
ISBN:3036530266, 9783036530260, 9783036530277, 3036530274
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISBN:3036530266
9783036530260
9783036530277
3036530274
DOI:10.3390/books978-3-0365-3027-7