Farsi Font Recognition in Document Images Using PPH Features

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Authors

  • Yaghoub POURASAD
  • Houshang HASSIBI
  • Azam GHORBANI

Keywords:

Farsi Font Recognition, Document Image, Projection Profile, Base line.

Abstract

In this paper a new approach for font recognition of Farsi document images is presented. In this approach using two features PP and H, font
and font size of a Farsi document image is recognized. Feature H is related to holes of imaged text document. Feature PP is related to horizontal
projection profile of text lines of document image. This approach is applied on 7 widely used Farsi fonts and 7 font sizes. A dataset containing
10*49 images and another dataset including 110 images were used for testing and recognition rate more than 93.7% obtained. Images were made
using paint software and were noiseless and without skew. This approach is fast and is applicable for other languages that are similar to Farsi, such
as Arabic language.

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Published

2019-06-01

How to Cite

POURASAD, Y., HASSIBI, H., & GHORBANI, A. (2019). Farsi Font Recognition in Document Images Using PPH Features. International Journal of Natural and Engineering Sciences, 5(3), 17–20. Retrieved from https://ijnes.org/index.php/ijnes/article/view/66

Issue

Vol. 5 No. 3 (2011): 2011-3

Section

Articles