95 articles 

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)

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.

  • 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
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Document Analysis – Unconstrained Handwriting – Hough Transform – Text Line Detection – Connected Component Analysis
  • Comment : http://www.suvisoft.com
 
  • inria-00112648, version 1
  • oai:hal.inria.fr:inria-00112648
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  • Submitted on: Thursday, 9 November 2006 14:24:27
  • Updated on: Thursday, 9 November 2006 16:47:55