Text line segmentation in handwritten documents using Mumford–Shah model

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摘要

Text line segmentation in handwritten documents is an important step in document image processing. We present a new text line segmentation method based on the Mumford–Shah model. The algorithm is script independent. In addition, we use morphing to remove overlaps between neighboring text lines and connect broken ones. Experimental results show the validity of our method.

论文关键词:Text line detection,Handwritten documents,Image segmentation,Mumford–Shah model

论文评审过程:Received 28 August 2008, Revised 16 December 2008, Accepted 20 December 2008, Available online 6 January 2009.

论文官网地址:https://doi.org/10.1016/j.patcog.2008.12.021