Adaptive document image binarization
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摘要
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel. The performance evaluation of the algorithm utilizes test images with ground-truth, evaluation metrics for binarization of textual and synthetic images, and a weight-based ranking procedure for the final result presentation. The proposed algorithms were tested with images including different types of document components and degradations. The results were compared with a number of known techniques in the literature. The benchmarking results show that the method adapts and performs well in each case qualitatively and quantitatively.
论文关键词:Adaptive binarization,Soft decision,Document segmentation,Document analysis,Document understanding
论文评审过程:Received 29 April 1998, Accepted 21 January 1999, Available online 7 June 2001.
论文官网地址:https://doi.org/10.1016/S0031-3203(99)00055-2