Description: The range of the text in the scene image is generally small, and there exists a wide range of non-text areas in the image. Therefore, the scene image text positioning as an independent step more and more attention. This includes positioning text the first CD and magazine cover to license plate location in intelligent transportation systems, capturing subtitles in video, and then locating scene text in complex backgrounds with fewer constraints. At the same time, the robustness of the text localization algorithm is more and more high, and the range of application is more and more extensive. Text localization methods can be divided into three types, based on the connectivity domain, based on learning and a combination of the two methods. The process of the connectivity domain is usually to extract the candidate text area first, then to filter some non-text areas by prior information, and finally construct the text words according to the relationship between candidate text characters. Le
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