Distance-based feature extraction for biometric recognition of Millimeter Wave body images

Author

Moreno-Moreno, Miriam ; Fierrez, Julian ; Vera-Rodriguez, Ruben ; Parron, Josep

Author_Institution

ATVS - Biometric Recognition Group, Univ. Autonoma de Madrid, Madrid, Spain

fYear

2011

fDate

18-21 Oct. 2011

Firstpage

1

Lastpage

6

Abstract

In this work a complete process of feature extraction for biometric recognition of Millimeter Wave body images is described. The scope of this work is to find a small set of distance-based features that can be used in body geometry authentication obtaining good error rates. This approach constitutes a feature-based alternative to the holistic recognition methods already proposed on the mentioned kind of images. The system is tested on a database comprising 1200 synthetic images at 94 GHz of the body of 50 individuals. The results prove that the use of a small number distance-based features provide good class separation.

Keywords

biometrics (access control); feature extraction; image recognition; biometric recognition; body geometry authentication; distance-based feature extraction; frequency 94 GHz; millimeter wave body image; Biomedical imaging; Databases; Feature extraction; Head; Image recognition; Image segmentation; Vectors; 94 GHz; body geometry; distance-based features; feature extraction; feature selection; image processing; millimeter wave images; synthetic database;

fLanguage

English

Publisher

ieee

Conference_Titel

Security Technology (ICCST), 2011 IEEE International Carnahan Conference on

Conference_Location

Barcelona

ISSN

1071-6572

Print_ISBN

978-1-4577-0902-9

Type

conf

DOI

10.1109/CCST.2011.6095950

Filename

6095950