Efficient on-line signature verification system
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In this paper, a robust automatic on-line signature
verification system is proposed. The effectiveness of any on-line
signature verification system depends mainly on the robustness
of the dynamic features use in the system. Inability to extract
highly discriminative dynamic features from signature has been
contributing to higher verification error-rates. On-line signature
verification experiments are conducted on seven dynamic
signature features extracted from signature trajectories. Three
features are found to be highly discriminative in comparison with
others. The proposed system incorporates these three features for
signature verification. Verification is based on the average of all
the distances obtain from the cross-alignment of the features. The
proposed system is tested with quality signature samples and it
has 0.5% error in rejecting skilled forgeries while rejecting only
0.25% of genuine signatures. These results are better in
comparison with the results obtained from previous systems.
Keywords
T Technology (General), TK Electrical engineering. Electronics Nuclear engineering