Research Of Text Detection Algorithm Based On Multi-resolutions Gabor Filter And BP Neural Network

At present, content-based multimedia database indexing and retrieval tasks require automatic extraction of descriptive features that are relevant to the subject materials (images, video, etc.). The typical low-level features that are extracted in images and video include measures of color, texture, or shape. Although these features can easily be obtained, they do not give a precise idea of the image content. Extracting more descriptive features and higher level entities, such as text and human faces, has recently attracted significant research interest. Text embedded in images and video, especially captions provide brief and important content information, such as the name of players or speakers, the title, location, date of an event, etc. This text can be a keyword resource as powerful as the information provided by speech recognizers. Besides, text-based search has been successfully applied in many applications, while the robustness and computation cost of feature matching algorithms based on other high-level features is not efficient enough to be applied to large databases.In the text-based image understanding and retrieval, text detection is important as a prerequisite stage for optical character recognition (OCR). Also it can be used in many other applications such as page segmentation, address block location, license plate location and so on. However, it has been still considered a very difficult problem because of text variations in size, style, and orientation as well as complex background of images. In this paper, a coarse to fine algorithm to detect texts in images and video frames with complex background is proposed. First, the method based on Component Connect (CC) is used to locate the possible text regions in the coarse detection. Second, the method based on texture analysis is applied in the fine detection. Finally, a BP Neural Network is adopted as classifier, parts of the features is selected based on statistic diagram to make the network efficient.