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A New Algorithm for Detecting Text Line in Handwritten Documents

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.
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Submitted on : Friday, October 20, 2006 - 2:54:15 PM
Last modification on : Friday, August 2, 2019 - 2:30:10 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 8:18:14 PM


  • HAL Id : inria-00108340, version 1



Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger. A New Algorithm for Detecting Text Line in Handwritten Documents. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00108340⟩



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