4 February 2013 Local projection-based character segmentation method for historical Chinese documents
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Abstract
Digitization of historical Chinese documents includes two key technologies, character segmentation and character recognition. This paper focuses on developing character segmentation algorithm. As a preprocessing step, we combine several effective measures to remove noises in a historical Chinese document image. After binarization, a new character segmentation algorithm segment single characters based on projections of a cost image in local windows. The cost image is constructed by utilizing the information of stroke bounding boxes and a skeleton image extracted from the binarized image. We evaluate the proposed algorithm based on matching degrees of character bounding boxes between segmentation results and ground-truth data, and achieve a recall rate of 74.3% on a test set, which shows the effectiveness of the proposed algorithm.
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Linjie Yang, Linjie Yang, Liangrui Peng, Liangrui Peng, } "Local projection-based character segmentation method for historical Chinese documents", Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580O (4 February 2013); doi: 10.1117/12.2008338; https://doi.org/10.1117/12.2008338
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