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Born-digital images are generated directly with the computer, the text in the images is important for fully understanding the images. Although there are many methods having been proposed over the past years for text extraction from natural scene images, text detection and extraction from born-digital images are still a challenge. This paper proposed an algorithm of text extraction from born-digital...
Binarization of natural images is important for text location and content-based analysis. In this work, a new adaptive method is introduced. It is able to improve the binarization results on the degraded images, such as the complex background, the non-uniform illumination, the variations of text font, size, color, and line orientation. The presented method contains three main stages. Firstly, original...
A novel adaptive binarization method based on wavelet filter is proposed in this paper, which shows comparable performance to other similar methods and processes faster, so that it is more suitable for real-time processing and applicable for mobile devices. The proposed method is evaluated on complex scene images of ICDAR 2005 Robust Reading Competition, and experimental results provide a support...
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