Name
Abstract | ||
|---|---|---|
•SM-DTW is a weighted DTW algorithm based on the concept of stability regions and handwriting generation models.•Dissimilarities inside stability regions and similarities outside them are penalized.•The performance are evaluated by varying the set of features used for representing signatures.•SM-DTW improves the performance of a classical DTW system and it outperforms some state of the art ASV systems.•Stability regions exploits shape information better than the whole feature set. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2018.07.029 | Pattern Recognition Letters |
Keywords | Field | DocType |
Automatic signature verification,Signature stability,Handwriting computational model | Pattern recognition,Handwriting,Dynamic time warping,Artificial intelligence,Baseline system,Conjecture,Mathematics | Journal |
Volume | ISSN | Citations |
121 | 0167-8655 | 4 |
PageRank | References | Authors |
0.39 | 25 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Parziale | 1 | 25 | 5.66 |
| Moises Diaz-Cabrera | 2 | 89 | 9.80 |
| Miquel Ferrer | 3 | 683 | 60.68 |
| Angelo Marcelli | 4 | 139 | 32.42 |