Document-Image Related Visual Sensors and Machine Learning Techniques

Kyandoghere Kyamakya, Fadi Al-Machot, Ahmad Haj Mosa

ISBN 10: 3036530266 / ISBN 13: 9783036530260

Published by Mdpi AG, 2023

About this Item

Seller Inventory # LU-9783036530260

Bibliographic Details

• Title: Document-Image Related Visual Sensors and Machine Learning Techniques
• Publisher: Mdpi AG
• Publication Date: 2023
• Language: English
• ISBN 10: 3036530266
• ISBN 13: 9783036530260
• Binding: Paperback
• Condition: New
• Dimensions: 16.99W x 1.42H x 24.41D centimeters 16.99 centimeters width by 1.42 centimeters height by 24.41 centimeters depth
• Weight: 558 grams

About this title

Synopsis

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.