Off-line handwritten Chinese signature verification based on support vector machine multiple classifiers

Abstract

Signature as a generally accepted way of consent and authorization plays an important role in social life. According features of off-line handwritten Chinese signature, utilized Support Vector Machine multiple classifiers which were constru-cted by extracting signature features combination method, and through decision module based on data fusion implemented off-line handwritten Chinese signature identification. Experiments show that the signature identification effect has been greatly im-proved. © 2012 Springer-Verlag GmbH.