Handwritten Digit Recognition Using Machine Learning Algorithms

Indonesian Journal of Science and Technology- Indonesia

doi 10.17509/ijost.v3i1.10795

Full Text

Abstract

Available in

Date

Authors

Publisher

Universitas Pendidikan Indonesia (UPI)

Related search

Handwritten Digit Recognition Using Different Dimensionality Reduction Techniques

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

Handwritten Digit Recognition With Binary Optical Perceptron

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
1997English

Comparative Performance of Deep Learning and Machine Learning Algorithms on Imbalanced Handwritten Data

International Journal of Advanced Computer Science and Applications
Computer Science
2018English

A Handwritten Digit Recognition Method Based on Bayesian Network

Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia
Engineering
2017English

Handwritten Digit Recognition Through Inferring Graph Grammars. A First Appproach

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
1998English

Geological Mapping Using Machine Learning Algorithms

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Devanagari Character Recognition Using Machine Learning

International Journal for Research in Applied Science and Engineering Technology
2019English

Skin Lesion Classification Using Machine Learning Algorithms

International Journal of Intelligent Systems and Applications in Engineering
2017English

Optical Character Recognition Based on Genetic Algorithms and Machine Learning

International Journal of Computer Applications
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy