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| Online Signature Verification Using Wavelet Transform of Feature Function |
| Hao Chang, Daoming Dai, Pingshui Wang, Yong Xu, Fengshan Si, |
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Abstract Aimed at higher verification performance, decreasing time complexity
and reducing data volume, a scheme was proposed to verify online
signatures based on wavelet transform. Firstly, signature data were
preprocessed using normalizing and debouncing. Then wavelet
transform was used for feature extraction. At last, experiments were
carried out on Signature Verification Competition 2004 to verify the
feasibility and performance of our approach. Equal error rate is
reached by 4.87\% and compress ratio is achieved nearly by 5.93,
which is superior to the average performance of SVC 2004. Moreover,
our method saves computation time and reduces data volume.
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