DocumentCode :
2207462
Title :
A novel approach based brain biometrics: Some preliminary results for individual identification
Author :
Aloui, K. ; Naït-Ali, A. ; Naceur, M. Saber
Author_Institution :
LTSIRS Lab., Nat. Eng. Sch., Tunis, Tunisia
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
91
Lastpage :
95
Abstract :
Numerous anatomical studies of the human brain have shown a significant inter-individual variability of brain characteristics. Specifically, the extracted characteristics are used in our application as a biometric tool to identify individuals. For this purpose, Magnetic Resonance Imaging (MRI) images are considered. We show that using a single slice from an MRI volumetric image, acquired at a given level, one can extract significant brain codes that can be used for the purpose to identify individuals. Explicitly, the proposed biometric approach uses some coding techniques that are commonly employed for iris identification. Specifically, 1D log Gabor Wavelet has been considered for feature extraction. Finally, the proposed algorithm is evaluated on the Open Access Series of Imaging Studies (OASIS) database containing brain MRI Images. Results using 210 classes show that high accuracy of 98.25% to identify individuals are obtained.
Keywords :
Gabor filters; biomedical MRI; biometrics (access control); brain; feature extraction; image coding; iris recognition; wavelet transforms; 1D log Gabor wavelet; biometric tool; brain MRI volumetric image; brain code extraction; coding techniques; feature extraction; human brain characteristics; individual identification; interindividual variability; iris identification; magnetic resonance imaging; open access series of imaging studies database; Accuracy; Databases; Feature extraction; Fingerprint recognition; Iris recognition; Magnetic resonance imaging; Biometric; Brain; Brain code; Iris; MR Images; Texture; Wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Biometrics and Identity Management (CIBIM), 2011 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9899-4
Type :
conf
DOI :
10.1109/CIBIM.2011.5949218
Filename :
5949218
Link To Document :
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