Title :
Person Identification Using Evoked Potentials and Peak Matching
Author :
Singhal, Girish K. ; RamKumar, Pavan
Author_Institution :
Johns Hopkins Sch. of Med., Baltimore
Abstract :
In this paper, we explore visually evoked potentials (VEPs) as a potential tool for biometric identification. Using a clinical stimulation paradigm, single channel pattern onset VEPs are recorded from raw EEG from 10 healthy male subjects aged between 20 and 24. Following this, two feature extraction techniques are employed to characterize the signals. Specifically, a novel, physiologically relevant peak matching algorithm is proposed and its performance is compared to features obtained from multi-resolution wavelet analysis. Once suitably characterized, the VEPs from different individuals are classified using a standard distance-measure based algorithm.
Keywords :
biometrics (access control); electroencephalography; feature extraction; image matching; image resolution; medical image processing; visual evoked potentials; wavelet transforms; biometric identification; clinical stimulation paradigm; electroencephalography; feature extraction; multiresolution wavelet analysis; person identification; physiologically relevant peak matching algorithm; single channel pattern onset; visual evoked potential; Aging; Algorithm design and analysis; Biomedical engineering; Biomedical measurements; Biometrics; Brain modeling; Electroencephalography; Feature extraction; Pattern matching; Temperature; Biometrics; peak matching; visual evoked potentials; wavelet decomposition;
Conference_Titel :
Biometrics Symposium, 2007
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-1549-6
Electronic_ISBN :
978-1-4244-1549-6
DOI :
10.1109/BCC.2007.4430555
