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

G. Louloudis; B. Gatos; I. Pratikakis; K. Halatsis

inria-00112648, version 1

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

G. Louloudis () ¹, B. Gatos () ², I. Pratikakis () ², K. Halatsis () ¹

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Résumé : 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.

1 : Department of Informatics and Telecommunications (Athens)
National and Kapodistrian University of Athens
2 : Computational Intelligence Laboratory [Athens] (CIL)
Institute of Informatics and Telecommunications – National Center for Scienfic Research Demokritos

inria-00112648, version 1
http://hal.inria.fr/inria-00112648
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Contributeur : Anne Jaigu <>
Soumis le : Jeudi 9 Novembre 2006, 14:24:27
Dernière modification le : Jeudi 9 Novembre 2006, 16:47:55

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