A Fast Algorithm for Persian Handwritten Number Recognition with Computational Geometry Techniques

Keivan Borna, Vahid Haji Hashemi


This paper aims to improve the feature extraction of Persian handwritten number recognition systems. In this paper, we introduced nine new features for detection and recognition of Persian handwritten digits using the technique of finding the smallest enclosing disc in computational geometry. All these features are based on the geometry form of numbers and are much better than the features in terms of accuracy such as gradient which are mentioned as the strongest feature in the literature. In fact our defined features are highly resistant to resize and rotation operations due to the circular form of Persian digits. In terms of feature extraction performance, our newly defined features are tested on Hoda database and the calculated results confirmed the efficiency of these features. Due to the improvement of recognition rate and acceptable speed, our defined features are better than other common features in digit recognition.


Persian handwritten numbers; OCR; feature extraction; computational geometry; smallest enclosing disk; KNN

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