Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Curvelets for Contact-less Hand Biometrics under varied environmental conditions.
Year:2017
Research Areas
  • Engineering
Information
Abstract
In this work, the Curvelet transform is proposed as a fairly new feature extraction method for palmprint recognition. Particularly, a multiscale analysis has been performed at four levels, assessing and combining the features extracted at each level in order to find those which better represent the palmprint. Feature matching has been conducted by means of Euclidean distance and Support Vector Machines (SVMs), and comparative results are provided. In addition, a multimodal approach involving the extracted palmprint features and hand geometry features has also been evaluated, obtaining an improvement of the results in relation to monomodal biometrics. Evaluations have been carried out following an evaluation protocol based on the definitions suggested by the ISO/IDE 19795 norm that allows for a fair comparison between the different methods. To this end, images coming from two different contact-less databases, which cover different capturing conditions, have been employed.
International
Si
Congress
51st International Carnahan Conference on Security Technology
960
Place
Madrid, españa
Reviewers
Si
ISBN/ISSN
2153-0742
10.1109/CCST.2017.8167805
Start Date
23/10/2017
End Date
26/10/2017
From page
1
To page
6
INSPEC Accession Number: 17416313
Participants
  • Autor: Belen Rios Sanchez (UPM)
  • Autor: Miguel Viana Matesanz (UPM)
  • Autor: Maria del Carmen Sanchez Avila (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones
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