An Efficient Adaptive Local Binarization Algorithm for Extracting Text from an Image with a Complex Background
Antoaneta Popova
Journal of Multimedia Processing and Technologies, Vol. 15, No. 1, 2024.
DOI: https://doi.org/10.6025/jmpt/2024/15/1/1-8
Link: https://www.dline.info/jmpt/fulltext/v15n1/jmptv15n1_1.pdf
Abstract:
The adaptive local threshold algorithm is described in this paper. It has the same quality as Sauvola and is as fast as global threshold methods. The adaptive local threshold calculation is independent of the operator window size. It combines the advantages of Wiener filter prior processing, the integral images, and local threshold calculation.