基于序列极值点分段的空中签名身份认证

In-air signature authentication based on sequence extreme point segmentation

空中签名序列长,为了解决传统的全局匹配方法造成的匹配慢、签名的局部信息丢失的问题,提出了对签名数据进行极值点分段再进行距离度量的方法。并针对传统DTW算法在极值点匹配中产生的不同极性极值点错匹配问题,提出了一种基于极值点匹配的改进DTW算法,约束DTW算法的匹配路径规则,避免错误匹配情况。在本地数据库上,系统的误拒率(FRR)和误纳率(FAR)分别达到了4. 15%和3. 82%。实验结果表明,与传统的全局匹配算法相比,先分段再进行相似度度量的方法使系统的认证精度和效率得到了提高。

The sequence of the in-air signature is long,in order to make the signature match faster and take advantage of more local information,this paper proposed a method that used the extreme points to segment the signature data and then measured the distance. Aiming at the mismatch problem of different polarity extreme point in traditional DTW algorithm,this paper proposed an improved DTW algorithm based on extreme point matching,which constrained the matching path of DTW algorithm and avoided error matching between extreme points. It achieved the result FRR: 4. 15% and FAR: 3. 82% on the local database. Experimental results show that,compared with the traditional global distance measurement method,the method that segment first and then measure the distance improves the accuracy and efficiency of the system.