Optimal user weighting fusion in DWT domain on-line signature verification

Abstract

An on-line signature verification method in the DWT domain has been proposed. The time-varying pen-position signal of the on-line signature is decomposed into sub-band signals by using the DWT. Individual features are extracted as high frequency signals in the sub-band. By using the extracted features, verification is achieved at each sub-band and then a total decision is taken by combining such verification results. In this paper, we introduce a user weighting fusion into the total decision. Through verification experiments, it is confirmed that there is an optimal weight combination for each user and the verification rate can be improved when the optimal weight combination is applied.