Recognition of printed Urdu ligatures using convolutional neural networks

Israr Uddin; Nizwa Javed; Imran A. Siddiqi; Shehzad Khalid; Khurram Khurshid

doi:10.1117/1.JEI.28.3.033004

13 May 2019 Recognition of printed Urdu ligatures using convolutional neural networks

Israr Uddin, Nizwa Javed, Imran A. Siddiqi, Shehzad Khalid, Khurram Khurshid

Author Affiliations +

Journal of Electronic Imaging, Vol. 28, Issue 3, 033004 (May 2019). https://doi.org/10.1117/1.JEI.28.3.033004

Abstract

We present a holistic technique for recognition of text in cursive scripts using printed Urdu ligatures as a case study. Convolutional neural networks (CNNs) are trained on high-frequency ligature clusters for feature extraction and classification. A query ligature presented to the system is first divided into primary and secondary ligatures that are separately recognized and later associated in a postprocessing step to recognize the complete ligature. Experiments are carried out using transfer learning on pretrained networks as well as by training a network from scratch. The technique is evaluated on ligatures extracted from two standard databases of printed Urdu text, Urdu printed text image (UPTI) and Center of Language Engineering (CLE), as well as by combining the ligatures of the two datasets. The system realizes high recognition rates of 97.81% and 89.20% on the UPTI and CLE databases, respectively.

Citation Download Citation

Israr Uddin, Nizwa Javed, Imran A. Siddiqi, Shehzad Khalid, and Khurram Khurshid "Recognition of printed Urdu ligatures using convolutional neural networks," Journal of Electronic Imaging 28(3), 033004 (13 May 2019). https://doi.org/10.1117/1.JEI.28.3.033004

Received: 29 January 2019; Accepted: 23 April 2019; Published: 13 May 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available