Support Vector Data Description with Dynamic Time Alignment Kernel for On-line Signature Verification
Presented a new class of support vector data description by incorporating an idea of dynamic time alignment into the kernel function(DTAK-SVDD).A novel approach for on-line signature verification based on DTAK-SVDD which can carry out automatic choice of matching template and decision threshold is presented and the details of the approach is investigated.The validation is examined with features of pen-force,pen-force differential and pen-position.Experimental results indicate the effectiveness of the proposed solution.