Fuzzy Binarization and Segmentation of Text Images for Opcr
نویسنده
چکیده
This paper presents the results of a new approach for binarization of text images. The new technique uses the fuzzy C-means clustering algorithm to simulate the clustering performed by the human visual system. The clustering process was applied to eleven text images. All of them have black text but the background change in color. As a mean of comparison, binarization using the image histogram was accomplished over the same images. Results proved that the fuzzy algorithm has better performance in some images than the histogram method. This paper also presents line segmentation accomplished by mean of a horizontal profile projection, which was filtered to detected lines boundaries.
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