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Performance Evaluation of Curled Textlines Segmentation Algorithms on CBDAR 2007 Dewarping Contest Dataset

Syed Saqib Bukhari; Faisal Shafait; Thomas Breuel
In: IEEE International Conference on Image Processing. IEEE International Conference on Image Processing (ICIP), January 25, Hong Kong, IEEE, 2010.


Camera-captured document images often contain curled textlines because of geometric and perspective distortions. Finding curled textlines, which is more difficult than straight textline detection, is a primary step in the processing of hand-held camera-captured document images. Detected textlines results can be used for dewarping of warped images, layout-analysis, etc. In this paper, we compare previously reported curled textline segmentation techniques by using the publicly available CBDAR 2007 dewarping contest dataset and vectorial performance evaluation metrics.