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On-line signature verification based on spatio-temporal correlation

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Abstract

We address the problem of on-line signature representation and verification. A novel strategy is proposed in this paper by combining texture based image analysis and spatio-temporal representation. Firstly, a correlation based method is proposed to describe spatio-temporal information between sampling points, which is then converted to traditional 2D intensity images. Secondly, abundant texture analysis methods are adopted to construct effective features for high accuracy verification. Furthermore, a template selection strategy based on intra-class variations is presented to further enhance the performance of signature verification. Extensive experiments are conducted on the SVC2004 database and experimental results demonstrate the inspiring performance of our proposed methods.

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Acknowledgements

This work is funded by the National Basic Research Program of China (No. 2010CB327902), the National Natural Science Foundation of China (No. 60873158, No. 61005016, No. 61061130560) and the Open Projects Program of National Laboratory of Pattern Recognition.

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Authors and Affiliations

  1. State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, 100191, Beijing, China

    Yunhong Wang, Zhaoxiang Zhang, Kaiyue Wang, Haoran Deng & Bin Ma

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  1. Yunhong Wang
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  2. Zhaoxiang Zhang
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  3. Kaiyue Wang
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  4. Haoran Deng
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  5. Bin Ma
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Correspondence to Zhaoxiang Zhang.

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Wang, Y., Zhang, Z., Wang, K. et al. On-line signature verification based on spatio-temporal correlation. Multimed Tools Appl 72, 879–904 (2014). https://doi.org/10.1007/s11042-013-1408-x

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