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Recently, writer identification has been studied and it has a wide variety of applications, more specifically in biometric and forensic science. This paper presents the use of texture features in identifying the writer from the handwritten document image. The texture features are extracted based on the co-occurrence histograms of wavelet decomposed images, which capture the information about relationships...
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