Multilingual artificial text detection and extraction from still images
Ahsen Raza, Ali Imam Abidi, Imran Siddiqi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
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.