Authors:
Alberto de Santos Sierra
1
;
Javier Guerra Casanova
1
;
Carmen Sánchez Ávila
2
and
Vicente Jara Vera
2
Affiliations:
1
Centro de Domótica Integral, Spain
;
2
Polytechnical University of Madrid, Spain
Keyword(s):
Biometric iris recognition, Synthetic iris images, Iris falsification, Security, Evolutionary strategies.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Cybernetics and User Interface Technologies
;
Data Manipulation
;
Devices
;
Evolutionary Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Information and Systems Security
;
Methodologies and Methods
;
Multimedia
;
Multimedia Signal Processing
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Telecommunications
Abstract:
Synthetic Biometric is emerging nowadays as a new research field in biometrics. An artificial iris tissue or a synthetic fingerprint could compromise the security, allowing a non-registered individual to enter the system. However, inverse biometric can also improve current identification systems, enhancing not only its strength against fake-based attacks, but also by replicating unavailable or corrupted data, due to a bad acquisition, for instance. The methods proposed in this document aim to provide a procedure to create a synthetic iris tissue from a stored biometric template, so that a non-registered user could access the system under a registered identity. These algorithms will come out with the result that synthetic sample could be so similar to original as desired.