Gamma correction acceleration for real-time text extraction from complex colored images
Rostom Kachouri, Christian Medina Armas, Mohamed Akil · 2015
Text extraction from complex colored images involves the suppression of unwanted background while keeping text features. Imaging devices are almost omnipresent and the unrestricted conditions of the images present new challenges for real-time OCR systems. The recently proposed Gamma Correction Method [1] is a robust and good quality method for text extraction in complex colored images. However it requires a large amount of computing resources and is not well suited for real-time applications. In this paper we propose an efficient acceleration of the GCM to drastically reduce its execution-time, while preserving the text extraction quality. Experimental results on ICDAR dataset show that our approach is effective and can reach a speedup of up to 11.430.