Line Segmentation for Degraded Handwritten Historical Documents

Authors:
Itay Bar-Yosef;Nate Hagbi;Klara Kedem;Itshak Dinstein
Affiliations:
-;-;-;-
Venue:
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Year:
2009

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Abstract

We propose a novel approach for text line segmentation based on adaptive local projection profiles. Our algorithm is suitable for degraded documents with text lines written in large skew. The main novelty of our approach is applying the local algorithm in an incremental manner that adapts to the skew of each text line as it progresses. The proposed approach achieves very accurate results on a set of degraded documents with lines written in different skew angles and curvatures.