A Fast Algorithm for Persian Handwritten NumberRecognition with Computational Geometry Techniques

This paper aims to improve the feature extraction of Persian handwritten number recognition systems. In this paper, weintroduced nine new features for detection and recognition of Persian handwritten digits using the technique of finding thesmallest enclosing disc in computational geometry. All these features are based on the geometry form of numbers and aremuch better than the features in terms of accuracy such as gradient which are mentioned as the strongest feature in theliterature. 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 newlydefined 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, ourdefined features are better than other common features in digit recognition.

A Fast Algorithm for Persian Handwritten NumberRecognition with Computational Geometry Techniques Keywords:

Persian handwritten numbers , OCR , featureextraction , computational geometry , smallest enclosing disk , KNN