By Topic

Recognition of separate and adjoint Persian letters using primitives

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ensafi, S. ; Electr. Eng. Dept., Shahid Beheshti Univ., Tehran, Iran ; Eshghi, M. ; Naseri, M.

In this paper we produce a new algorithm for optical character recognition OCR in Persian words by discomposing them to their containing primitive elements. All Persian letters and words are consisting of 9 primitive elements suggested. At first primitive elements are extracted by using the modified Hough transform and make the primitive arrays. And then these elements from first and end of the array are compared with character identification vectors (CIV) and recognize the characters. In this method two processes of separation and recognition are accomplished simultaneously and don't depend on font and size of it unlike the others. This algorithm is done for 5 most important Persian fonts - Time New Roman, Nazanin, Yaghut, Zar and Titr- in three sizes of 12, 14 and 16, with 93.43% precision.

Published in:

Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on  (Volume:2 )

Date of Conference:

4-6 Oct. 2009