Signature alignment based on GMM for on-line signature verification
作者：
Highlights：
• Signatures are aligned well to reference template based on Gaussian Mixture Model before verification.
• Efficiency of verification is improved by modified dynamic time warping with signature curve constraint.
• Distance probability is presented to describe the dissimilarity between test signatures and references.
• A strategy of dynamic weight factors being assigned to features depend on coefficient of variation.
摘要
•Signatures are aligned well to reference template based on Gaussian Mixture Model before verification.•Efficiency of verification is improved by modified dynamic time warping with signature curve constraint.•Distance probability is presented to describe the dissimilarity between test signatures and references.•A strategy of dynamic weight factors being assigned to features depend on coefficient of variation.
论文关键词：On-line signature verification,Signature alignment,Gaussian Mixture Model,Signature curve constraint,Dynamic weight factor
论文评审过程：Received 31 July 2016, Revised 15 November 2016, Accepted 16 December 2016, Available online 23 December 2016, Version of Record 4 January 2017.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.12.019
