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The representation of writing styles is a crucial step of writer identification schemes. However, the large intra-writer variance makes it a challenging task. Thus, a good feature of writing style plays a key role in writer identification. In this paper, we present a simple and effective feature for off-line, text-independent writer identification, namely wavelet domain local binary patterns (WD-LBP)...
Images often contain noise due to the capturing devices, environment and even human errors. For the image further processing, compression, fractal and so on, the image denoising is necessary. Wavelet analysis plays a very important role in the image denoising. In this paper, we improve the wavelet thresholding method by using multi-scale thresholds and a new thresholding function. Also, in case of...
Writer identification recently has been considerably studied due to its various applications in forensic and commercial sections. Because offline, text-independent writer identification has limited requirements in writing sample collection, it has wider applications and meanwhile more difficult to handle. By considering handwriting images as visually distinctive textures, we propose a new method for...
As an effective method for copyright protection of digital products against illegal usage, watermarking in wavelet domain has recently received considerable attention due to the desirable multiresolution property of wavelet transform. In general, images can be represented with different resolutions by the wavelet decomposition, analogous to the human visual system (HVS). Usually, human eyes are insensitive...
The rapid growth of digital multimedia and Internet technologies have brought big challenge to copyright protection. Billions of dollars are lost every year because of illegal use of digital products. Digital watermarking is an effective method of copyright protection. Recently, watermarking in wavelet domain turns into an active research direction due to the multiresolution property of wavelet transform...
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