An Algorithm for Extracting Cursive Text Lines

Authors:
Elisabetta Bruzzone;Meri Cristina Coffetti
Affiliations:
-;-
Venue:
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Year:
1999

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Abstract

In this paper a new algorithm for extracting text lines from a cursive image field is described. The proposed algorithm is a fast and satisfactorily accurate procedure for isolating text lines without loss of information. The algorithm is based on the analysis of horizontal run projections and connected components grouping and splitting on a partition of the input image into vertical strips, in order to deal with undulate or skewed text. Goal of the algorithm is to preserve the ascending and descending characters from been corrupted by arbitrary cuts. The algorithm has been designed for cursive text and it can be applied also to hand-printed one. It maintains punctuation to allow a more performing words extraction in a subsequent phase of handwritten line processing.