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Character segmentation from text lines in degraded historical document images is challenging due to complex background and non-availability of regular structures of text patterns. This paper proposes a new method based on watershed model for segmenting characters from text lines in degraded historical document images. The proposed method filters out noise pixels by exploring Sobel and Laplacian values...
Character segmentation from License plate is challenging as it suffers from non-uniform illumination, blur and touching adjacent character due to head light of vehicles effect etc. This paper presents a new approach based on sharpness of character and the space regions for segmentation. We explore Gradient Vector Flow Opposite Direction Pair of pixels for seed point's selection. From the seed points,...
Character segmentation is an important topic to improve the overall performance of text recognition methods due to low resolution, complex background and lots of visual variations in video. This paper presents a novel idea for segmenting characters from arbitrarily-oriented text lines based on wavelet and Laplacian combination. Firstly, we explore wavelet which decomposes a given input image into...
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