The main difficulties for text detection are due to complicated illumination condition and text-background weak contrast in natural scene images. In order to resolve them

this paper presents a local Haar binary pattern(LHBP) based algorithm for text detection. Firstly

LHBP texture description operator is presented. It is insensitive to illumination variance and can effectively describe the text feature. Secondly

the Multi-scale Directional Filtering based on LHBP is proposed for fast filtering to obtain candidate text regions. Finally

the LHBP-histogram-based SVM is presented to refine the text location. Comparing with state-of-the-art algorithms

the experiment results demonstrate the robustness of the proposed method with better accuracy.