A COMBINED FEATURE EXTRACTION MODEL USING SIFT AND LBP FOR OFFLINE SIGNATURE VERIFICATION SYSTEM

摘要

A combined feature extraction model using SIFT and LBP for offline signature verification system. To deal with this issue, here we presented a combined approach for feature extraction where SIFT (scale invariant feature transform) and improved LBP (local binary pattern) are combined together to obtain the robust feature model. Furthermore, a classification study is also presented to measure the performance of proposed approach. Experimental study shows that proposed approach obtains promising performance for signature verification system. Following invention is described in detail with the help of Figure 1 of sheet 1 showing complete process of the proposed approach.