A Handwritten Digit Recognition Method Based on Bayesian Network

Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia- Venezuela

doi 10.21311/001.39.11.14

Full Text

Abstract

Available in

Categories

Engineering

Date

Authors

Unknown

Publisher

Corporacion Universitaria Remington

Related search

Efficient Handwritten Digit Recognition Based on Histogram of Oriented Gradients and SVM

International Journal of Computer Applications
2014English

Handwritten Digit Recognition Using Machine Learning Algorithms

Indonesian Journal of Science and Technology
Geotechnical EngineeringSpacePlanetary ScienceEngineering GeologyEngineeringComputer ScienceChemical Engineering
2018English

Handwritten Digit Recognition With Binary Optical Perceptron

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
1997English

Handwritten Digit Recognition Using Different Dimensionality Reduction Techniques

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019Indonesian

A Novel Neural Network Based Method Developed for Digit Recognition Applied to Automatic Speed Sign Recognition

International Journal of Advanced Computer Science and Applications
Computer Science
2016English

Handwritten Digit Recognition Through Inferring Graph Grammars. A First Appproach

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
1998English

Network‐based Isolated Digit Recognition Using Vector Quantization

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
1984English

Neural Network Based Off-Line Handwritten Text Recognition System

English

A Study of Digit Recognition Algorithm for Meter Based on Rough Set and Neural Network

International Journal of Smart Home
Computer Science
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy