In this paper, we propose a skeleton matching based approach which aids in
text localization in scene images. The input image is preprocessed and
segmented into blocks using connected component analysis...
We obtain the
skeleton of the segmented block using morphology based approach. The
skeletonized images are compared with the trained templates in the database to
categorize into text and non-text blocks. Further, the newly designed
geometrical rules and morphological operations are employed on the detected
text blocks for scene text localization. The experimental results obtained on
publicly available standard datasets illustrate that the proposed method can
detect and localize the texts of various sizes, fonts and colors.