Segmentation of text lines is one of the important steps in the Optical Character Recognition system. Text Line Segmentation is pre-processing step of word and character segmentation. Text Line Segmentation can be viewed simple for printing documents which contains distinct spaces between the lines. And it is more complex for the documents where text lines are overlap, touch, curvilinear and variation of space between text lines like in Telugu scripts and skewed documents. The main objective of this project is to investigate different text line segmentation algorithms like Projection Profiles, Run length smearing and Adaptive Run length smearing on low quality documents. These methods are experimented and compare their accuracy and results.
Soujanya, P.; Koppula, Vijaya Kumar; and Gaddam, Kishore
"Comparative Study of Text Line Segmentation Algorithms on Low Quality Documents,"
International Journal of Computer Science and Informatics: Vol. 2
, Article 9.
Available at: https://www.interscience.in/ijcsi/vol2/iss4/9