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Stable text line detection

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1 Author(s)
Jaime S. Cardoso ; INESC Porto, Faculdade de Engenharia, Universidade do Porto, Portugal

Text line segmentation in freestyle handwritten documents remains an open document analysis problem. Curvilinear text lines and small gaps between neighbouring text lines present a challenge to algorithms developed for machine-printed or hand-printed documents. We investigate a general-purpose, knowledge-free method for the automatic detection of text lines based on a stable path approach. Lines affected by curvature and inclination are robustly detected. The proposed methodology was tested on a modern set of handwritten images made available on the ICDAR 2009 handwriting segmentation competition, with promissing results.

Published in:

Applications of Computer Vision (WACV), 2009 Workshop on

Date of Conference:

7-8 Dec. 2009