A New Method for Arabic Text Detection in Natural Scene Image Based on the Color Homogeneity

摘要

Text detection in natural scene image is still open research topics. Particularly, for Arabic text, a very few studies have been proposed. In this paper, we propose a method for Arabic text detection in natural scene image based on the color homogeneity. Starting from the MSER idea and instead of relying on a range of unique thresholds we calculate a range of pairs of thresholds for each channel in the RGB space in order to generate a set of binary maps. Following extraction of connected components of each binary map we apply a first filtering according to a stability criterion of the written texts to extract candidate components regardless of the language. Then, through the characteristics of the Arabic script we make a second screening to found candidates to keep only those that define a text in the Arabic language.