Online signature verification method based on the acceleration signals of handwriting samples
Here we present a method for online signature verification treated as a two-class pattern recognition problem. The method is based on the acceleration signals obtained from signing sessions using a special pen device. We applied a DTW (dynamic time warping) metric to measure any dissimilarity be...
Elmentve itt :
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| Dokumentumtípus: | Könyv része |
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Springer-Verlag
Berlin; Heidelberg
2011
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| Sorozat: | Lecture Notes in Computer Science
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |
| doi: | 10.1007/978-3-642-25085-9_59 |
| mtmt: | 1873813 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/7419 |
| Tartalmi kivonat: | Here we present a method for online signature verification treated as a two-class pattern recognition problem. The method is based on the acceleration signals obtained from signing sessions using a special pen device. We applied a DTW (dynamic time warping) metric to measure any dissimilarity between the acceleration signals and represented our results in terms of a distance metric. © 2011 Springer-Verlag. |
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| Terjedelem/Fizikai jellemzők: | 499-506 |
| ISBN: | 9783642250842 |
| ISSN: | 0302-9743 |