Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Farsi Font Recognition Using Holes of Letters and Horizontal Projection Profile
verfasst von : Yaghoub Pourasad, Houshang Hassibi, Azam Ghorbani
Erschienen in: Innovative Computing Technology
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In spite of important role of font recognition in document image analysis, only a few researchers have addressed the issue. This work presents a new approach for font recognition of Farsi document images. In this approach using two types of features, font and font size of Farsi document images are recognized. The first feature is related to holes of letters of text of document image. The second feature is related to horizontal projection profile of text lines of document image. This approach has been applied on 7 widely used Farsi fonts and 7 font sizes. A dataset of 10*49 images and another dataset of 110 images were used for testing and recognition rate more than 93.7% obtained. Images have been made using paint software and are noiseless and without skew. This approach is fast and is applicable for other languages that are similar to Farsi, such as Arabic language.