Language Discrimination and Font Recognition in Machine Printed Documents Using a New Fractal Dimension

Language Discrimination and Font Recognition in Machine Printed Documents Using a New Fractal Dimension

This paper focuses on language separation and font recognition in multilingual and multi-font texts. The purpose of this task is to improve performance of general OCR systems, dealing with Omni-fonts and different languages. The proposed method is based on an innovative fractal dimension measurement. The extracted features with this method are independent of document contents and considers language and font recognition problem as texture identification task. Experimental results on three different languages namely, Farsi, Arabic and English with their most popular fonts show that the proposed method not only separates these languages but recognizes their font types accurately.