A Simple and Fast Text Location Method in Color Images

The texts in image and video contain important information. In this paper, we propose an effective method for text detection and localization in colorful images. The algorithm is based on corner response. Compared with non-text regions, there often exist dense edges and corners in text regions. So we can get relatively strong responses from text regions and low responses from non-text regions. These responses provide us useful cues for text detection and localization in images. Using threshold scheme, we get and enhance the image with corners. Then using the projection of corner response, we get candidate regions for text. These regions are further verified by heuristic rules. The experimental results show the effectiveness of our methods.