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inria-00108340, version 1

A New Algorithm for Detecting Text Line in Handwritten Documents

Yi Li () 1, Yefeng Zheng () 2, David Doermann () 1, Stefan Jaeger () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: Curvilinear text line detection and segmentation in handwritten documents is a significant challenge for handwriting recognition. Given no prior knowledge of script, we model text line detection as an image segmentation problem by enhancing text line structure using a Gaussian window, and adopting the level set method to evolve text line boundaries. Experiments show that the proposed method achieves high accuracy for detecting text lines in both handwritten and machine printed documents with many scripts.

  • 1:  Laboratory for Language and Media Processing (LAMP)
  • University of Maryland at College Park
  • 2:  Siemens Corporate Research
  • Siemens
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Handwritten Text Line Detection – Document Image Analysis – Level Set Methods
  • Comment : http://www.suvisoft.com
 
  • inria-00108340, version 1
  • oai:hal.inria.fr:inria-00108340
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  • Submitted on: Friday, 20 October 2006 14:54:15
  • Updated on: Friday, 20 October 2006 15:39:15