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.
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Conference papers
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006


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Submitted on : Thursday, November 9, 2006 - 2:24:27 PM
Last modification on : Thursday, November 9, 2006 - 4:47:55 PM

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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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