MAJORITY VOTING IMAGE BINARIZATION
Alexandru Pruncu, Cezar Ghimbas, Radu Boeru, Vlad Neculae, Costin-Anton Boiangiu · 2018
This paper presents a new binarization technique for text based images. The proposed method combines several state of the art binarization algorithms through a majority voting scheme and applies a post processing effect to improve the results, more specifically, the edge map of the grayscale image is used in combination with the image resulted through the voting process in order to ensure a more accurate determination of the image's characters. Compared individually to each algorithm used, the binarization result proves to be quite promising, surpassing every other algorithm for certain images containing machine-written characters.