Edge-based text localization and character segmentation algorithms for automatic slab information recognition

Content-based image indexing is to label image based on its content such as color, texture, shape, face, text, and etc. Because the text can be easily localized and recognized compared to other image contents, many researchers have studied about the general text localization in images actively. Generally, it is known that localizing scene text is more difficult than localizing caption text, and still it is not easy. However, although our target texts are scene texts, it is clear that they are not general, that is, the properties of target texts are fixed. In this paper, we propose an edge-based text localization and segmentation algorithms for automatic slab information recognition system.