DocumentCode :
1823245
Title :
Beyond classical biometrics: When using hidden biometrics to identify individuals
Author :
Nait-Ali, Amine
Author_Institution :
Lab. Images, Univ. Paris-Est Creteil (UPEC), Creteil, France
fYear :
2011
fDate :
4-6 July 2011
Firstpage :
241
Lastpage :
246
Abstract :
The aim of this invited paper is to discuss some emerging biometric approaches that are currently under consideration. After presenting the state of the art, including some advanced techniques, the idea of using some specific medical data for the purpose of identifying individuals is considered. This type of biometrics is called hidden biometrics. Its main advantage is its robustness regarding any potential forgeries. For example, when dealing with brain Magnetic Resonance (MR) images as a biometric tool, no one can modify deliberately features of his own brain even if these features can change over the time in case of pathological individuals, or during the growth period (not considered in this study). In particular, a special interest is given to brain MRI and X-Ray based biometrics. Some examples using brain MRI images, Hand and Lung X-Ray are highlighted in this paper.
Keywords :
biomedical MRI; biometrics (access control); brain; diagnostic radiography; hidden feature removal; lung; medical image processing; X-ray based biometrics; brain MRI; brain magnetic resonance images; hand X-ray; hidden biometrics; lung X-ray; medical data; Biomedical imaging; Biometrics; Feature extraction; Forgery; Magnetic resonance imaging; Veins; X-ray imaging; Biometrics; MRI s; X-Ray; hidden biometrics; identification; medical data; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Information Processing (EUVIP), 2011 3rd European Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4577-0072-9
Type :
conf
DOI :
10.1109/EuVIP.2011.6045559
Filename :
6045559
Link To Document :
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