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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Owais Mujtaba Khandy
University of Miskolc

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Analysis of machine learning algorithms for character recognition: a case study on handwritten digit recognition Owais Mujtaba Khandy; Samad Dadvandipour
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp574-581

Abstract

This paper covers the work done in handwritten digit recognition and the various classifiers that have been developed. Methods like MLP, SVM, Bayesian networks, and random forests were discussed with their accuracy and are empirically evaluated. Boosted LetNet 4, an ensemble of various classifiers, has shown maximum efficiency among these methods. 
Co-Authors Samad Dadvandipour