A handwritten signature recognition system based on LSVM
Jie ping Chen · Advances in computer science research · 2015
Handwritten signature recognition has a wide application prospect in the field of identity identification.This paper presents a shape feature, dynamic feature extraction and recognition technology of LSVM state based on the combination of handwritten signature recognition system.Objective function changes in the experimental model of SVM, to LSVM, to avoid decomposition when solving the multiple solution algorithm of the problems existing in the SVM, for the purpose of improving the operating time of the system.The experimental results show that it has a high recognition rate and faster recognition rate.