Soft-Biometrics: Soft-Computing Technologies for Biometric-Applications
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Identity authentication using improved online signature verification method
Pattern Recognition Letters
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Off-line signature recognition using morphological pixel variance analysis
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
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To realize a high performance automatic signature verification system, it is necessary that the selected features are potentially difficult to be imitated. One of the advantages of on-line signature verification is that the virtual strokes which left in pen-up situation can be obtained. These virtual strokes can be memorized by the computer but are invisible to humans. So there is little possibility to imitate these strokes deliberately. The features included in such strokes are expected to realize a high verification performance. This paper proposes to find out optimal features from the virtual strokes for signature verification. Experiments are done to show the effectiveness of the new method.