Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/127428
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Faundez-Zanuy, Marcos | en_US |
| dc.contributor.author | Díaz Cabrera, Moisés | en_US |
| dc.date.accessioned | 2023-10-30T14:10:10Z | - |
| dc.date.available | 2023-10-30T14:10:10Z | - |
| dc.date.issued | 2023 | en_US |
| dc.identifier.isbn | 9783031430848 | en_US |
| dc.identifier.issn | 0302-9743 | en_US |
| dc.identifier.other | Scopus | - |
| dc.identifier.uri | http://hdl.handle.net/10553/127428 | - |
| dc.description.abstract | This paper investigates the impact of different approximation methods in feature extraction for pattern recognition applications, specifically focused on delta and delta-delta parameters. Using MCYT330 online signature database, our experiments show that 11-point approximation outperforms 1-point approximation, resulting in a 1.4% improvement in identification rate, 36.8% reduction in random forgeries and 2.4% reduction in skilled forgeries. | - |
| dc.language | eng | en_US |
| dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
| dc.source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics )[ISSN 0302-9743],v. 14134 LNCS, p. 461-472, (Enero 2023) | en_US |
| dc.subject | 3307 Tecnología electrónica | - |
| dc.subject.other | Derivatives | - |
| dc.subject.other | Dynamic Time Warping | - |
| dc.subject.other | E-Security | - |
| dc.subject.other | Online Handwriting | - |
| dc.title | On the Use of First and Second Derivative Approximations for Biometric Online Signature Recognition | en_US |
| dc.type | info:eu-repo/semantics/conferenceObject | en_US |
| dc.type | ConferenceObject | en_US |
| dc.relation.conference | 17th International Work-Conference on Artificial Neural Networks, IWANN 2023 | en_US |
| dc.identifier.doi | 10.1007/978-3-031-43085-5_36 | en_US |
| dc.identifier.scopus | 85174503559 | - |
| dc.identifier.isi | 001155313400036 | - |
| dc.contributor.orcid | 0000-0003-0605-1282 | - |
| dc.contributor.orcid | 0000-0003-3878-3867 | - |
| dc.contributor.authorscopusid | 57238059400 | - |
| dc.contributor.authorscopusid | 58552611900 | - |
| dc.identifier.eissn | 1611-3349 | - |
| dc.description.lastpage | 472 | en_US |
| dc.description.firstpage | 461 | en_US |
| dc.relation.volume | 14134 LNCS | en_US |
| dc.investigacion | Ciencias | - |
| dc.type2 | Actas de congresos | en_US |
| dc.contributor.daisngid | 912728 | - |
| dc.contributor.daisngid | 1137937 | - |
| dc.description.numberofpages | 12 | en_US |
| dc.utils.revision | Sí | - |
| dc.contributor.wosstandard | WOS:Faundez-Zanuy, M | - |
| dc.contributor.wosstandard | WOS:Diaz, M | - |
| dc.date.coverdate | Enero 2023 | en_US |
| dc.identifier.conferenceid | events150445 | - |
| dc.identifier.ulpgc | Sí | - |
| dc.contributor.buulpgc | BU-BAS | en_US |
| dc.description.sjr | 0,606 | - |
| dc.description.sjrq | Q2 | - |
| dc.description.miaricds | 10,0 | - |
| item.grantfulltext | none | - |
| item.fulltext | Sin texto completo | - |
| crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
| crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
| crisitem.author.dept | Departamento de Física | - |
| crisitem.author.orcid | 0000-0003-3878-3867 | - |
| crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
| crisitem.author.fullName | Díaz Cabrera, Moisés | - |
| Appears in Collections: | Actas de congresos | |
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