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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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Bibliographic Details
Main Author: Kyamakya, Kyandoghere
Other Authors: Al-Machot, Fadi, Mosa, Ahmad Haj, Chedjou, Jean Chamberlain
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Portable Sensor
Incomplete Multimedia Data
Multispectral Imaging
Mathematics & Science / Bicssc
N/a
Feature Learning
Data Augmentation
Feature Selection
Deep Learning
House Architecture Type Classification
Document Classification
Image Pre-processing
Perspective Correction
House Type Classification
Image Binarization
Local Thresholding
Imbalanced Dataset
Text Position Correction
Research & Information: General / Bicssc
Encoder-decoder Network
Convolutional Neural Networks
Fuzzy C-means
Variational Autoencoder
Depth Image Filtering
Visualization
Point Clouds Filtering
Document Images
Chart Recognition
Kinect V2
Scene Text Recognition
Classification
Detection
Close Range
Multiple Scales
Scene Text Detection
Optical Character Recognition
Hand Pose
Natural Images
Document Scanning
Depth Resolution
Visual Sensor
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (166 p.)
ISBN:books978-3-0365-3027-7
9783036530260
9783036530277

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