A new Brazilian hand-based behavioural biometrics database: Data collection and analysis

DA SILVA, V.R., DE ARAÚJOSILVA, J.C.G. and DA COSTA ABREU, Marjory (2018). A new Brazilian hand-based behavioural biometrics database: Data collection and analysis. In: 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). Institution of Engineering and Technology.

[img] PDF
Hand-basedBiometrics.pdf - Published Version
Restricted to Repository staff only
All rights reserved.

Download (125kB)
[img]
Preview
PDF
Abreu_NewBrazilianHand-Based(AM).pdf - Accepted Version
All rights reserved.

Download (125kB) | Preview
Official URL: https://ieeexplore.ieee.org/document/8267345
Link to published version:: https://doi.org/10.1049/ic.2016.0085
Related URLs:

    Abstract

    © 2016 Institution of Engineering and Technology. All rights reserved. The technologies of biometrics provide a variety of powerful tools to determine or confirm individual identity while, more recently, there has been considerable interest in using soft biometrics (personal information which is characteristic of, but not unique to, individuals) in the identification task. Although the area has seen an increase advance in the last decade, there is still the need to understand the existing demographics differences. More importantly, though, is the acquisition of new and relevant multimodal databases that can be used for new investigations. Therefore, this paper presents a protocol for the collection of the first hand-based multimodal biometrics database with keystroke dynamics, keystroke-touch dynamics and handwritten signature in Brazil.

    Item Type: Book Section
    Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Identification Number: https://doi.org/10.1049/ic.2016.0085
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 19 Aug 2020 14:58
    Last Modified: 20 Aug 2020 10:45
    URI: http://shura.shu.ac.uk/id/eprint/25383

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics