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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… Click to show full 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.
Keywords:
analysis machine;
digit recognition;
handwritten digit;
machine learning;
recognition;
learning algorithms
Journal Title: Indonesian Journal of Electrical Engineering and Computer Science
Year Published: 2021
Link to full text (if available)
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Journal Title: Indonesian Journal of Electrical Engineering and Computer Science
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!