Text line detection and segmentation: uneven skew angles and hill-and-dale writing

Authors:
Ergina Kavallieratou
Affiliations:
University of the Aegean Samos, Greece
Venue:
Proceedings of the 2010 ACM Symposium on Applied Computing
Year:
2010

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Abstract

A line detection and segmentation technique is presented. The proposed technique is an improved version of an older technique. The experiments have been performed on the dataset of the ICDAR 2007 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.