Curvelets for Contact-less Hand Biometrics under varied environmental conditions.

Descripción (resumen): 

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.


Tipo publicación: 
Congress
Publicado en: 
51st International Carnahan Conference on Security Technology. Madrid. España
ISBN/ISSN: 
2153-0742. INSPEC Accession Number: 17416313
D.O.I.: 
10.1109/CCST.2017.8167806
Biometría bioseñales y seguridad
Fecha de Publicacion: 
Octubre 2017
Autores CeDInt: