Online Handwritten Signature Verification System Based on Neural Network Classification
Dmitrii I. Dikii, V.D. Artemeva · 2019
This paper discusses the biometric personal characteristics appliance as an identifying information for granting remote access to information resources. The authors investigated the possibility to apply handwriting dynamics as a characteristic that can be changed in case of its compromise. They proposed their own method of digital data pre-processing based on an algorithm of viewing a straight line as a curved one. The authors analyzed the proposed algorithm for the possibility of applying it to set an online verification. They received positive results. The proposed algorithm allows us to form a feature vector of an info system user of the given dimensionality. The authors suggest using artificial neural network as a classifier with different the most well-known algorithms of their training. The authors propose to use the statistical processing of training set samples with the correlation analysis method of the data, which enters the neural network.