Adaptive Application of Modified Niblack Algorithm for Letter Image Binarization

우편 영상 이진화를 위한 수정된 Niblack 알고리듬의 적응적 적용

This paper describes an efficient thresholding method for the binarization of a grey-level letter image. This method determines the adaptive threshold for letter image binarization by introducing the readjusting parameter, based on the global variance of the input image. Experimental results show that the proposed binarization method outperforms on the various letter images with a texture or noise when compared to the other methods.