Expertise and the width of the visual filter in fingerprint examiners
Author(s) -
Tom Busey,
B. Schneider,
Dean Wyatte
Publication year - 2010
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/8.6.178
Subject(s) - filter (signal processing) , computer science , spatial filter , artificial intelligence , fingerprint (computing) , stimulus (psychology) , biometrics , pattern recognition (psychology) , spatial frequency , computer vision , noise (video) , visual processing , speech recognition , psychology , optics , image (mathematics) , perception , physics , cognitive psychology , neuroscience
Methods:! • We tested 4 Experts and 4 age-matched novice for three 90 minute sessions. • Face and fingerprint trials were intermixed. • EEG data was collected at 1000 Hz and bandpass filtered between .1 and 30 Hz. • We used 32 channels and removed eye artifacts using the EEGLab toolbox (Delorme, A. & Makeig, S., 2004). • Masking noise was generated by bandpass filtering white Gaussian noise with a 2 octave passband and presented additivity on a gamma-calibrated monitor at 120 Hz. • Accuracy was computed at each noise frequency band and plotted against the center frequency.
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