摘要
针对传统DTW算法的不足,本文通过优化时间序列,提出了基于时间序列优化的在线手写签名鉴别算法。该算法弥补了传统DTW算法忽略签名时间序列长度的不足,并提高了签名认证准确率。实验结果说明算法是可行的。
For the disadvantages of classic DTW, this article on the basis of DTW through the optimization of time series, proposes the point on-line handwriting signature verification algorithm that is based on the time series optimization. It covers the insufficient that classic DTW algorithm neglects the time series length,and improves the accuracy rate of the verification. Experiment results show that the proposed algorithm is feasible.
出处
《自动化与信息工程》
2011年第5期40-41,48,共3页
Automation & Information Engineering
关键词
模式识别
动态时间规整
手写签名识别
时间序列
Pattern Recognition
Dynamic Time Warping
Signature Verification
Time Series