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This paper presents an offline text-independent writer identification system in a multi-language environment using sparse auto-encoder (SAE) based codebook (SAEC) and non-text-segmentation feature extraction methods. The proposed codebook is designed by SAE structure and clustering. The superior of the designed frame work is that features can be effectively extracted and without the pre-step of text...
Image registration is a key problem in a variety of applications, such as computer vision, medical image processing, pattern recognition, etc., while the application of registration is limited by time consumption and the accuracy in the case of large pose differences. Aimed at these two kinds of problems, we propose a fast rotation-free feature-based rigid registration method based on our proposed...
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