Paper
4 February 2013 Multilingual artificial text detection and extraction from still images
Ahsen Raza, Ali Abidi, Imran Siddiqi
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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Cited by 4 scholarly publications.
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KEYWORDS
Transform theory

Video

Image filtering

Edge detection

Image processing

Optical filters

Visualization

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