A Feature Extraction Method for Arabic Offline Handwritten Recognition System Using Naïve Bayes Classifier
2021 International Conference on Computing and Communications Applications and Technologies (I3CAT)（2021）
Abstract
Handwriting recognition in the Arabic language is considered one of the most challenging problems and the accuracies in recognizing still need more enhancements due to the Arabic character’s nature, cursive writing, style, and size of writing in contrast to working with other languages. In this paper, we propose a system for Arabic Offline Handwritten Character Recognition based on Naïve Bayes cla...
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Key words
Handwriting recognition,Databases,Writing,Benchmark testing,Feature extraction,Optical imaging,Character recognition
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