A Deep-Learning Based Visual Sensing Concept for a Robust Classification of Document Images under Real-World Hard Conditions

A Deep-Learning Based Visual Sensing Concept for a Robust Classification of Document Images under Real-World Hard Conditions

This paper’s core objective is to develop and validate a new neurocomputing model to classify document images in particularly demanding hard conditions such as image distortions, image size variance and scale, a huge number of classes, etc. Document classification is a special machine vision task in...

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Bibliographic Details
Main Authors: Kabeh Mohsenzadegan, Vahid Tavakkoli, Kyandoghere Kyamakya
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
documents classification
hard conditions
real-world conditions
deep convolutional neural network
document image processing
Online Access:https://www.mdpi.com/1424-8220/21/20/6763

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https://www.mdpi.com/1424-8220/21/20/6763

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