Neurogenetic reconstruction of biometric templates: A new security threat?

Author

Adams, Joshua ; Dozier, Gerry ; Bryant, Kelvin ; Shelton, Joseph ; Alford, Aniesha ; Leflore, Derrick ; Abegaz, Tamirat

Author_Institution

Center for Adv. Studies in Identity Sci., North Carolina A & T State Univ., Greensboro, NC, USA

fYear

2012

fDate

15-18 March 2012

Firstpage

1

Lastpage

8

Abstract

In this paper, we demonstrate how neurogenetic reconstruction can be used to reconstruct facial images from biometric templates extracted using Local Binary Patterns (LBPs). We also demonstrate the process of neurogenetic distortion of biometric templates in order to mitigate neurogenetic reconstruction. Our results show that reconstructed images can be used to recognize individuals within a dataset with a high degree of accuracy. Our results also show that neurogenetic distortion can be used to successfully distort biometric templates to prevent image reconstruction.

Keywords

biometrics (access control); feature extraction; image reconstruction; biometric template extraction; facial image reconstruction; local binary patterns; neurogenetic image reconstruction distortion; security threat; Accuracy; Biometrics; Feature extraction; Genetic algorithms; Histograms; Image reconstruction; Kernel; Feature Extraction; General Regression Neural Network (GRNN); Genetic Algorithms (GA); Local Binary Patterns (LBP); Steady State Genetic Algorithm (SSGA);

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon, 2012 Proceedings of IEEE

Conference_Location

Orlando, FL

ISSN

1091-0050

Print_ISBN

978-1-4673-1374-2

Type

conf

DOI

10.1109/SECon.2012.6197072

Filename

6197072