Title :
A method for online signature verification based on neural network
Author :
Xu, Nan ; Cheng, Li ; Guo, Yan ; Wu, Xiaogang ; Zhao, Jiali
Author_Institution :
Sch. of Electr. & Inf. Eng., Wuhan Inst. of Technol., Wuhan, China
Abstract :
This paper presents a Neural Network based on-line signature verification system with experiment. Summing up a set of feature vectors that can represent the characters of the signatures. Form the feather sets and vertificate using the feather sets. Reduced the FA & FR by choosing individuational threhold. Proved the feasibility of the set by experiments.
Keywords :
digital signatures; neural nets; feather sets; feature vectors; individuational threhold; neural network; online signature verification method; Current measurement; Educational institutions; Error analysis; Feature extraction; Handwriting recognition; Training; BPNeuralNetwork; feature; signature verification; threhold;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6013611
