Machine learning methods in character recognition

Authors:
Lev Itskovich;Sergei Kuznetsov
Affiliations:
ABBYY, Moscow, Russia and Moscow Institute of Physics and Technology, Moscow, Russia;Higher School of Economics, Moscow, Russia and Moscow Institute of Physics and Technology, Moscow, Russia
Venue:
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Year:
2011

Citing 5
Cited 0

C4.5: programs for machine learning

C4.5: programs for machine learning
Machine Learning

Machine Learning
Random Forests

Machine Learning
Fast split selection method and its application in decision tree construction from large databases

International Journal of Hybrid Intelligent Systems - Hybrid Intelligence using rough sets
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we consider applications of well-known numerical classifiers to the problem of character recognition (optical character recognition, OCR). We discuss the requirements which these classifiers should meet to solve this problem. Various modifications of well-known algorithms are proposed. Recognition rates of these classifiers are compared on real character datasets.