A Decision Tree Based Method to Classify Persian Handwritten Numerals by Extracting Some Simple Geometrical Features
Hamidreza Alvari, Seyed Mehdi Hazrati Fard, Bahar Salehi · International Journal of Computer Theory and Engineering · 2013
Automatic recognition of handwritten numerals has been widely proposed in various languages.However, some languages such as Persian still need more consideration.In this paper, we proposed a handwritten Persian numerals dataset, which is gathered from people with different range of educational level.Thus, it is more general than other similar Persian datasets.Additionally, a method to classify Persian handwritten numerals is presented, which uses simple geometrical features based on their shapes, and classifies them via a rule-based decision tree classifier.Compared to other similar methods, our proposed method has the advantages of high speed running, employing too few and simple features, and elimination of training phase.