Segmentation of Text from Badly Degraded Document Image
Priyanka Udayabhanu · 2016
This paper proposes a method to improve the contrast of text in a badly degraded document. Given a degraded document image, an adaptive contrast map is first constructed and the text stroke edges are then detected through the combination of the binarized adaptive contrast map and the canny edge map. The text is then segmented based on the local threshold that is estimated from the detected text stroke edge pixels. Some post-processing is further applied to improve the document binarization quality.