Degraded document image binarization using structural symmetry of strokes
作者：
Highlights：
• A novel document image binarization method based on the structural symmetric pixels (SSPs) is presented.
• The adaptive gradient binarization algorithm for degraded document images is effective.
• The new iterative stroke width estimation algorithm takes no parameters and is robust against noise.
• Multiple local thresholds are used to increase the binarization accuracy through a voting strategy.
• Extensive experiments on various datasets show that our method is robust and effective.
摘要
•A novel document image binarization method based on the structural symmetric pixels (SSPs) is presented.•The adaptive gradient binarization algorithm for degraded document images is effective.•The new iterative stroke width estimation algorithm takes no parameters and is robust against noise.•Multiple local thresholds are used to increase the binarization accuracy through a voting strategy.•Extensive experiments on various datasets show that our method is robust and effective.
论文关键词：Document image binarization,Structural symmetry of strokes,Local threshold,Stroke width estimation
论文评审过程：Received 19 December 2016, Revised 8 June 2017, Accepted 19 September 2017, Available online 23 September 2017, Version of Record 27 September 2017.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.09.032
