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A Modified Adaptive Logical Level Binarization Technique for Historical Document Images
2009
2009 10th International Conference on Document Analysis and Recognition
In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT depends on fixed windows to extract essential features such as the character stroke width. Since characters with several different stroke widths may exist within a region, this can lead to erroneous results. In our approach, we use local adaptive binarization as a guide to our adaptive stroke width detection. The
doi:10.1109/icdar.2009.225
dblp:conf/icdar/NtirogiannisGP09
fatcat:kcsvht35brdxdasjmcwub7gfae