Farsi font recognition based on spatial matching

In this paper a new approach for Farsi font recognition is presented. In this approach using the Euclidean distance between spatial descriptors and gradient value in each point of boundary of some especial letters, font of a document image is recognized. To test this approach we constructed a dataset consisting of some letters in 20 widely used Farsi fonts and obtained recognition rate more than 94%. An advantage of this approach is that existence of only a few words is enough to recognize the font of document image. Another advantage of this approach is that noise doesn´t disturb it. This approach is applicable on other languages, too.