The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters
作者：
Highlights：
• We propose handwritten signature verification for writer independent parameters.
• We propose to design HSVS system using only genuine signatures using OC-SVM.
• Applying a soft threshold in order to reduce the misclassification of the OC-SVM.
• Combination scheme is proposed through versus distances used into the OC-SVM kernel.
• Competitive results are obtained comparatively to the state of the art.
摘要
•We propose handwritten signature verification for writer independent parameters.•We propose to design HSVS system using only genuine signatures using OC-SVM.•Applying a soft threshold in order to reduce the misclassification of the OC-SVM.•Combination scheme is proposed through versus distances used into the OC-SVM kernel.•Competitive results are obtained comparatively to the state of the art.
论文关键词：Offline signature verification,Writer-independent parameters,One-class support vector machines,Curvelet transform,Decision threshold
论文评审过程：Received 27 February 2014, Revised 28 May 2014, Accepted 16 July 2014, Available online 1 August 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.07.016
