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Титульная страница ТГТУ Scientific Articles  
 
Section: "Automation. Information. Control. Instruments"
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  • Abdalla Ali A.A., Zhirkov V F. Combining Multiple Approaches for On-Line Signature Verification // Scientific article. Journal "Transactions of the TSTU", vol. 15 , Tambov. TSTU publisher house , 2009. (pdf-file)
    Abstract: An on-line signature verification system exploiting temporal, local and global information through score-level fusion is presented. Global information is extracted with a feature-based representation and recognized by using Mahalanobis distance Classifier. Temporal information is extracted as time functions of various dynamic properties and recognized by using Dynamic Time Warping Model. Local information is extracted by using Discrete Radon Transform and recognized by using Dynamic Time Warping Model. Experimental results are given on the SVC2004 database (40 signers, 1600 signatures) for random and skilled forgeries. It is shown that the performance of all systems is improved when using more signatures in the enrollment. The three proposed systems are shown to give complementary recognition information which is successfully exploited using score-level fusion. The combining strategy leads to 0,18 EER for skilled forgeries and 0,07 for random forgeries in comparison to the individual algorithms.
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