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Combining genetic algorithm with other machine learning algorithm for character recognition
Published in International Journal of Computer Engineering and Applications (IJCEA)
Volume: 12.0
Issue: 1.0
Pages: 33.0 - 39.0
Analyzing data from images or from hand written text is a challenging task. The most important components are (i) character recognition and (ii) text detection from images. In this paper, we have taken “Artificial Character” dataset. In this system we have proposed the classification of data by using the genetic algorithm. Genetic algorithm is the recommended for the strong rule based classifier, and it is used for the mining the small set of data. Traditionally, there are different classification algorithm used like Decision Tree, Naive Bayes, etc. But, if these algorithms are applied with optimization of attributes then they perform best. In this system, a Genetic Algorithm based approach is proposed for artificial recognition of character, which makes the classification task simpler and accurate when compared with naïve bayes algorithm.
About the journal
JournalInternational Journal of Computer Engineering & Applications
PublisherInternational Journal of Computer Engineering and Applications (IJCEA)
Open Access0