Text Line Detection in Unconstrained Handwritten Documents Using a Block-Based Hough Transform Approach

Authors:
G. Louloudis;B. Gatos;C. Halatsis
Affiliations:
University of Athens, Greece;Institute of Informatics and Telecommunications;University of Athens, Greece
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Year:
2007

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Abstract

In this paper we present a new text line detection method for unconstrained handwritten documents. The proposed technique is based on a strategy that consists of three distinct steps. The first step includes image binarization and enhancement, connected component extraction and average character height estimation. In the second step, a block-based Hough transform is used for the detection of potential text lines while a third step is used to correct possible splitting, to detect text lines that the previous step did not reveal and, finally, to separate vertically connected characters and assign them to text lines. The performance evaluation of the proposed approach is based on a consistent and concrete evaluation methodology.