Authors: pal

Description: First, the image is segmented into smooth and non-smooth regions based on local contrast. After removing non-text smooth regions, the remaining smooth regions are merged with non-smooth regions to form a candidate text image, which is binarized into high-value and low-value connected components (CCs). The CCs undergo CC filtering, line grouping and line classification to give the text localization result.
While for the recognition, we use a hybrid method which combines over-segmentation based method with lexicon-driven method.