JUCS - Journal of Universal Computer Science 17(1): 16-29, doi: 10.3217/jucs-017-01-0016
Text Line Detection and Segmentation: Uneven Skew Angles and Hill-and-Dale Writing
expand article infoErgina Kavallieratou‡, Fotis Daskas§
‡ University of the Aegean, Karlovasi, Greece§ Greek Open University, Patra, Greece

Corresponding author: Ergina Kavallieratou ( kavallieratou@aegean.gr )

© Ergina Kavallieratou, Fotis Daskas.
This article is freely available under the J.UCS Open Content License.
Citation: Kavallieratou E, Daskas F (2011) Text Line Detection and Segmentation: Uneven Skew Angles and Hill-and-Dale Writing. JUCS - Journal of Universal Computer Science 17(1): 16-29. https://doi.org/10.3217/jucs-017-01-0016
Open Access
Abstract
In this paper a line detection and segmentation technique is presented. The proposed technique is an improved version of an older one. The experiments have been performed on the training dataset of the ICDAR 2009 handwriting segmentation contest in order to be able to compare, objectively, the performance of the two techniques. The improvement between the older and newer version is more than 24% while the average extra CPU time cost is less than 200 ms per page.
Keywords
Line detection, line segmentation, OCR