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Robust text and drawing segmentation algorithm for historical documents
2013
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing - HIP '13
We present a method to segment historical document images into regions of different content. First, we segment text elements from non-text elements using a binarized version of the document. Then, we refine the segmentation of the non-text regions into drawings, background and noise. At this stage, spatial and color features are exploited to guarantee coherent regions in the final segmentation. Experiments show that the suggested approach achieves better segmentation quality with respect to
doi:10.1145/2501115.2501117
dblp:conf/icdar/CohenAKED13
fatcat:7q3mhoqtfrfwld4vqjqdqpsq34