IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multi-expert System for Dynamic Signature Verification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Multi-Expert Verification of Hand-Written Signatures
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A new method for the positioning and matching of shape outlines
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Shape matching by curve modelling and alignment
WSEAS Transactions on Information Science and Applications
A study on enhanced dynamic signature verification for the embedded system
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
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A signature verification system basically consists of two units, the verification and the enrolment subsystem. Much work has been done developing verification techniques for dynamic signature verification whereas the influence of reference construction has not been extensively studied. The paper reports how the verification rates of a given system can be increased by ameliorating the enrolment technique. An efficient enrolment technique that performs a time- and position-based averaging of representative input signatures for a stroke-based verification approach is presented. The approach is capable of dealing with varying stroke structures, missing or additional strokes, and, in the presence of those, determines the most natural stroke structure of the reference in parallel with the construction of the average signature prototype. It is shown that, in comparison to the frequently used technique of selecting one signature out of an initial set of input signatures, the error rate especially of stroke-based approaches can be significantly reduced.