Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study

Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition. Our comparative study deals with four types of artificial neural networks—multilayer perceptrons, probabilistic neural networks, radial basis function neura...

Full description

Bibliographic Details
Main Authors: Ladislav Karrach, Elena Pivarčiová
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Journal of Imaging
Subjects:
multilayer perceptron
probabilistic neural network
radial basis function neural network
convolutional neural network
2D matrix codes
classification
Online Access:https://www.mdpi.com/2313-433X/9/9/188

Internet

https://www.mdpi.com/2313-433X/9/9/188

Similar Items