Publikation
Performance Evaluation of Curled Textlines Segmentation Algorithms on CBDAR 2007 Dewarping Contest Dataset
Syed Saqib Bukhari; Faisal Shafait; Thomas M. Breuel
In: International Conference on Image Processing. IEEE International Conference on Image Processing (ICIP-10), September 26-29, Hong Kong, China, IEEE, 9/2010.
Zusammenfassung
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 handheld 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.