在线签名验证中从DTW代价矩阵探索信息的利用

On the Exploration of Information From the DTW Cost Matrix for Online Signature Verification

IEEE Transactions on Cybernetics · 2017
被引 88
ABS 3

中文导读

研究了从动态时间规整代价矩阵中提取信息用于在线签名验证,提出融合代价矩阵和规整路径信息的分数,并引入特征提取间距参数,在公开数据库上降低了错误率。

Abstract

This paper explores the utility of information derived from the dynamic time warping (DTW) cost matrix for the problem of online signature verification. The prior works in literature primarily utilize only the DTW scores to authenticate a test signature. To the best of our knowledge, the characteristics of the warping path (used for the alignment) in the cost matrix is hardly exploited for verification of online signatures. Accordingly, we devise a score that utilizes the information from the cost matrix and warping path alignments. We subsequently consider its fusion (using a sum rule combiner) with the DTW score for authenticating the veracity of a test signature. In addition, a minor modification is suggested with regards to the set of features employed for matching the signatures. We introduce a spacing parameter for feature extraction and demonstrate its applicability in increasing the separation between the distribution of genuine and forgery signatures for an user. Our method has been tested on two publicly available online signature databases namely the SVC-2004 Task 2 and MCYT-100. We report reduction in error rates over the traditional DTW framework.

在线签名验证动态时间规整模式识别生物特征识别