A Novel Approach for Binarization of Overlay Text
Zhike Zhang, Weiqiang Wang · 2013
In this paper, we presents a new binarization approach to extract text pixels from complex background in video frames. The binarization computation is a crucial step for, video text recognition, which can greatly increase the recognition, accuracy of an OCR software. The proposed approach consists, of four phases. First, the text polarity is determined, i.e. light text with dark background or dark text with light background., Then the pixels in the given image are clustered into K clusters, using the K-means algorithm in the RGB color space and the, text cluster is selected based on the text polarity. Further, the, MRF Model is exploited to get the binarization result. Finally, the, result is further refined by the Log-Gabor filter. The Experimental, results on a large dataset show that the significant gains have been, obtained according to the segmentation performance on the pixel, level as well as the OCR accuracy.