Synthesis of 3D on-air signatures with the Sigma-Lognormal model
Signature synthesis is a computation technique that generates artificial specimens which can support decision making in automatic signature verification. A lot of work has been dedicated to this subject, which centres on synthesizing dynamic and static two-dimensional handwriting on canvas. This pap...
Uložené v:
| Vydané v: | arXiv.org |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Paper |
| Jazyk: | English |
| Vydavateľské údaje: |
Ithaca
Cornell University Library, arXiv.org
29.01.2024
|
| Predmet: | |
| ISSN: | 2331-8422 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Signature synthesis is a computation technique that generates artificial specimens which can support decision making in automatic signature verification. A lot of work has been dedicated to this subject, which centres on synthesizing dynamic and static two-dimensional handwriting on canvas. This paper proposes a framework to generate synthetic 3D on-air signatures exploiting the lognormality principle, which mimics the complex neuromotor control processes at play as the fingertip moves. Addressing the usual cases involving the development of artificial individuals and duplicated samples, this paper contributes to the synthesis of: (1) the trajectory and velocity of entirely 3D new signatures; (2) kinematic information when only the 3D trajectory of the signature is known, and (3) duplicate samples of 3D real signatures. Validation was conducted by generating synthetic 3D signature databases mimicking real ones and showing that automatic signature verifications of genuine and skilled forgeries report performances similar to those of real and synthetic databases. We also observed that training 3D automatic signature verifiers with duplicates can reduce errors. We further demonstrated that our proposal is also valid for synthesizing 3D air writing and gestures. Finally, a perception test confirmed the human likeness of the generated specimens. The databases generated are publicly available, only for research purposes, at . |
|---|---|
| AbstractList | Signature synthesis is a computation technique that generates artificial specimens which can support decision making in automatic signature verification. A lot of work has been dedicated to this subject, which centres on synthesizing dynamic and static two-dimensional handwriting on canvas. This paper proposes a framework to generate synthetic 3D on-air signatures exploiting the lognormality principle, which mimics the complex neuromotor control processes at play as the fingertip moves. Addressing the usual cases involving the development of artificial individuals and duplicated samples, this paper contributes to the synthesis of: (1) the trajectory and velocity of entirely 3D new signatures; (2) kinematic information when only the 3D trajectory of the signature is known, and (3) duplicate samples of 3D real signatures. Validation was conducted by generating synthetic 3D signature databases mimicking real ones and showing that automatic signature verifications of genuine and skilled forgeries report performances similar to those of real and synthetic databases. We also observed that training 3D automatic signature verifiers with duplicates can reduce errors. We further demonstrated that our proposal is also valid for synthesizing 3D air writing and gestures. Finally, a perception test confirmed the human likeness of the generated specimens. The databases generated are publicly available, only for research purposes, at . |
| Author | Ferrer, Miguel A Quintana Hernandez, Jose J Carmona-Duarte, Cristina Plamondon, Rejean Diaz, Moises |
| Author_xml | – sequence: 1 givenname: Miguel surname: Ferrer middlename: A fullname: Ferrer, Miguel A – sequence: 2 givenname: Moises surname: Diaz fullname: Diaz, Moises – sequence: 3 givenname: Cristina surname: Carmona-Duarte fullname: Carmona-Duarte, Cristina – sequence: 4 givenname: Jose surname: Quintana Hernandez middlename: J fullname: Quintana Hernandez, Jose J – sequence: 5 givenname: Rejean surname: Plamondon fullname: Plamondon, Rejean |
| BookMark | eNotjctKxDAARYMoOI7zAe4CrlPzbJOdMj6hMIvOfkibpJOhTTRpffy9BYUL9y4O91yB8xCDBeCG4IJLIfCdTt_-s6Ack4KUjKozsKKMESQ5pZdgk_MJY0zLigrBVuC--QnT0WafYXSQPcIYkPYJZt8HPc3JZvjlpyNcGNj4ftSojn2IadQDHKOxwzW4cHrIdvPfa9A8P-23r6jevbxtH2qkBWVICuOc5U46o3jHcbmsSimMhZJcd5p0bWtsZVuOTal5SRQzmkgmcWsqZdga3P69vqf4Mds8HU5xTmERHqgiasliYb-94UxJ |
| ContentType | Paper |
| Copyright | 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 8FE 8FG ABJCF ABUWG AFKRA AZQEC BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| DOI | 10.48550/arxiv.2401.16329 |
| DatabaseName | ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials - QC ProQuest Central Technology Collection ProQuest One ProQuest Central SciTech Premium Collection ProQuest Engineering Collection Engineering Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database (ProQuest) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection |
| DatabaseTitle | Publicly Available Content Database Engineering Database Technology Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) Engineering Collection |
| DatabaseTitleList | Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Physics |
| EISSN | 2331-8422 |
| Genre | Working Paper/Pre-Print |
| GroupedDBID | 8FE 8FG ABJCF ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS AZQEC BENPR BGLVJ CCPQU DWQXO FRJ HCIFZ L6V M7S M~E PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| ID | FETCH-LOGICAL-a523-85dffe4f8fd94c406f8f799005984aca1cbbde7eb40d6a46193da18380bd79d3 |
| IEDL.DBID | BENPR |
| IngestDate | Mon Jun 30 09:19:21 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-a523-85dffe4f8fd94c406f8f799005984aca1cbbde7eb40d6a46193da18380bd79d3 |
| Notes | SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50 |
| OpenAccessLink | https://www.proquest.com/docview/2919919523?pq-origsite=%requestingapplication% |
| PQID | 2919919523 |
| PQPubID | 2050157 |
| ParticipantIDs | proquest_journals_2919919523 |
| PublicationCentury | 2000 |
| PublicationDate | 20240129 |
| PublicationDateYYYYMMDD | 2024-01-29 |
| PublicationDate_xml | – month: 01 year: 2024 text: 20240129 day: 29 |
| PublicationDecade | 2020 |
| PublicationPlace | Ithaca |
| PublicationPlace_xml | – name: Ithaca |
| PublicationTitle | arXiv.org |
| PublicationYear | 2024 |
| Publisher | Cornell University Library, arXiv.org |
| Publisher_xml | – name: Cornell University Library, arXiv.org |
| SSID | ssj0002672553 |
| Score | 1.858846 |
| SecondaryResourceType | preprint |
| Snippet | Signature synthesis is a computation technique that generates artificial specimens which can support decision making in automatic signature verification. A lot... |
| SourceID | proquest |
| SourceType | Aggregation Database |
| SubjectTerms | Handwritten signature verification Kinematics Signatures Synthesis |
| Title | Synthesis of 3D on-air signatures with the Sigma-Lognormal model |
| URI | https://www.proquest.com/docview/2919919523 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV27TsMwFLWgBYmJt3iUygOr26RxansCAa1AgioiDGWq_EoVCZKSlAr-nuuQ8lhY2BzZg2U7vuceH92D0GmoQiZ8HRAuuSBUQ56iGGPEc8OVlLyvvMpsgo1GfDwWUU24lbWscnknVhe1ybXjyLs94UQ6AvKms9kLca5R7nW1ttBYRU1XqYw2UPNiMIruv1iWXp8BZg4-nzOr4l1dWbyliw4EMr8DWOQXtPwRWYab_53TFmpGcmaLbbRisx20Xik6dbmLzuP3DMBdmZY4T3BwhfOMyLTATrBRFfMsseNgMYzBcTp9luQ2n2YOwT7hyh5nD8XDwcPlNantEoiEGRAemiSxNOGJEVRDnIYWg1gD-IlTqaWvlTKWWUU905cUEqfASPihuacMEybYR40sz-wBwiGXrmQNTzSz1KeaaxP6KlSwpcIqyQ9Ra7kck_rEl5PvtTj6u_sYbfQAGDgaoydaqDEvXu0JWtOLeVoW7XoD206DGcNXdHMXPX4AvL2pew |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3JTsMwEB1BC4ITu9jxAY6GJnFq-4BAYhFVS4VUDpyovAVFggQStv4TH8k4pSwXbhy4RYoTJfZk5s34ZR7AdqxjLgMTUaGEpMxgnqI557Thh2ulRFM3KrEJ3u2Kqyt5MQZvo39hPK1y5BMrR21z42vke6H0JB2JedPB_QP1qlF-d3UkoTE0i7YbvGDKVu63jnF9d8Lw9OTy6Ix-qApQhRdTEdskcSwRiZXMYDjDI44uGWGGYMqowGhtHXeaNWxTMcwvIqvQ7kVDWy5thHcdhzrzvr8iCvY-KzphkyM-j4Zbp1WjsD1VvKbPuxg0g13EPT9g7Lcodjrzv95_FuoX6t4VczDmsnmYrLiqplyAw94gQ9hapiXJExIdkzyjKi2Ip6JUbUpL4qvLBMeQXnpzp2gnv8k8Nr8llfDPIvT-4JGXoJblmVsGEgvlm_GIxHDHAmaEsXGgY43GKp1WYgXWR5Pf__iWy_7XzK_-fnoLps4uzzv9TqvbXoPpEOGPL9aEch1qj8WT24AJ8_yYlsVmZTgErv92nd4BuKICJw |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Synthesis+of+3D+on-air+signatures+with+the+Sigma-Lognormal+model&rft.jtitle=arXiv.org&rft.au=Ferrer%2C+Miguel+A&rft.au=Diaz%2C+Moises&rft.au=Carmona-Duarte%2C+Cristina&rft.au=Quintana+Hernandez%2C+Jose+J&rft.date=2024-01-29&rft.pub=Cornell+University+Library%2C+arXiv.org&rft.eissn=2331-8422&rft_id=info:doi/10.48550%2Farxiv.2401.16329 |