2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95) Constructing a High Performance Signature Verification System Using a GA Method Dunedin, New Zealand November 20-November 23 ISBN: 0-8186-7174-2
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.
Index Terms:
Signature Verification, Feature Selection, GA, Fuzzy Network
Citation:
Xuhua Yang, Takeshi Furuhashi, Kenzo Obata, Yoshiki Uchikawa, "Constructing a High Performance Signature Verification System Using a GA Method," annes, pp.170, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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