Robust text image alignment with template for information retrieval
Alignment is an important preprocessing step for image information retrieval. With template information, images should be aligned precisely to retrieve information inside. These images may contain repeated characters or radicals, and their textures may be not appropriate for keypoint extractions. In this paper, a novel robust image alignment algorithm is proposed for images with text template using clustering and robust subspace learning. Experiment shows it can perform well even in extreme cases.