Multi-oriented english text line identification

Authors:
U. Pal;S. Sinha;B. B. Chaudhuri
Affiliations:
Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

There are many artistic documents where text lines of a single page may have different inclinations (orientations). To enhance the ability of document analysis system, we have to extract text line in multiple orientations. In this paper, we propose a robust technique to detect English text lines of arbitrary orientation in a single document page. We propose here a bottom-up approach where the connected components are at first labelled. They are then clustered into word groups. Text lines of arbitrary orientation are identified from the estimation of these word groups. From an experiment of 3700 text lines, we obtained an accuracy of 98.3% by the proposed method.