Authors: jin ma
Description: paper published on ICME2017. he extraction and recognition of scene text in images is an important way to understand the semantic information in image. By now, scene text detection is still a challenging problem. In this paper, we present a scene text localization method based on the pruning of Maximally Stable Extremal Region (MSER) tree and Linkage-tree. Concretely, the MSER-tree is first constructed and overlap MSERs are removed by the non-maximum suppression strategy. Further, the linkage-trees are constructed and pruned based on the features considering the nodes themselves and their siblings. Finally, the non-text lines are eliminated based on to the CNN-based features and intensity contrast. Experimental results on two challenging datasets demonstrate the effectiveness of the proposed method.