关键词: 文本定位, 连通区域分析, 方向梯度直方图特征, 局部二值模式特征

Abstract: Text location is the premise and foundation of text extraction in images. In order to overcome the complex background and the effect of illumination, a coarse-to-fine text location algorithm is proposed. The algorithm firstly uses connected-component analysis for coarsely locating on the edge image, and then extracts histogram of oriented gradient feature and modified local binary patterns feature to classify the candidate regions, removes the false text to achieve accurate location. Experimental results indicate that this algorithm can effectively reduce the influence of non-uniform illumination and complex background, accurately locate the text area in scene image.

Key words: text location, connected-component analysis, histogram of oriented gradient feature, local binary patterns feature