Neural Network Based Intelligent Retrieval System for Verifying Dynamic Signatures
Ankita Wadhawan, Avani Bhatia · International Journal of Advanced Science and Technology · 2015
Mining of data is the process of discovering patterns from a large data set and uses this knowledge for matching purpose.In this paper a neural network based approach of data mining is used to verify dynamic signature patterns.In an authentication process, everyone may have a signature that is used to legally prove the document and to bind the individual with the inclination contained in the document.Signature verification is the verification process in which a given input is examined and is either rejected as forgery or accepted as genuine.The proposed algorithm is applied to a set of 500 signature samples collected from 20 individuals.Performance of the system is depicted by using three parameters that are accuracy, false acceptance rate (FAR) and false rejection rate (FRR).Experiments are performed by training the system with more and more number of samples.The results show that the system with neural network has better performance as compared to support vector machines.