A New Algorithm for Detecting Text Line in Handwritten Documents

Yi Li 1 Yefeng Zheng 2 David Doermann 1 Stefan Jaeger 1
1 LAMP - Laboratory for Language and Media Processing
2 Siemens Corporate Research
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.
Keywords : Handwritten Text Line Detection Document Image Analysis Level Set Methods
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Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger. A New Algorithm for Detecting Text Line in Handwritten Documents. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00108340〉

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