A Block-Based Hough Transform Mapping for Text Line Detection in Handwritten Documents

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 preprocessing for image 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 false alarms. The performance of the proposed methodology is based on a consistent and concrete evaluation technique that relies on the comparison between the text line detection result and the corresponding ground truth annotation.
Type de document :
Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006


https://hal.inria.fr/inria-00112648
Contributeur : Anne Jaigu <>
Soumis le : jeudi 9 novembre 2006 - 14:24:27
Dernière modification le : jeudi 9 novembre 2006 - 16:47:55
Document(s) archivé(s) le : mardi 6 avril 2010 - 22:00:48

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  • HAL Id : inria-00112648, version 1

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G. Louloudis, B. Gatos, I. Pratikakis, K. Halatsis. A Block-Based Hough Transform Mapping for Text Line Detection in Handwritten Documents. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. <inria-00112648>

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