Multilingual artificial text detection and extraction from still images

Ahsen Raza; Ali Abidi; Imran Siddiqi

doi:10.1117/12.2008445

4 February 2013 Multilingual artificial text detection and extraction from still images

Ahsen Raza, Ali Abidi, Imran Siddiqi

Proceedings Volume 8658, Document Recognition and Retrieval XX; 86580V (2013) https://doi.org/10.1117/12.2008445
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

In this paper we present a novel method for multilingual artificial text extraction from still images. We propose a lexicon independent, block based technique that employs a combination of spatial transforms, texture, edge and, gradient based operations to detect unconstrained textual regions from still images. Finally, some morphological and geometrical constraints are applied for fine localization of textual content. The proposed method was evaluated on two standard and three custom developed datasets comprising a wide variety of images with artificial text occurrences in five different languages namely English, Urdu, Arabic, Chinese and Hindi.

Citation Download Citation

Ahsen Raza, Ali Abidi, and Imran Siddiqi "Multilingual artificial text detection and extraction from still images", Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580V (4 February 2013); https://doi.org/10.1117/12.2008445

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