A Reproducible Performance Evaluation Method for Forged Fingerprint Detection Algorithm

Person authentication using electroencephalogram (EEG) brainwaves signals

“…Beta (b) [13,30] Hz Indicates an alert state, with active thinking and attention. Mu (m) [8,13] Hz Locates in the motor and sensorimotor cortex; the amplitude varies when the subject performs movements. Alpha (a) [8,12] Hz Indicates a relaxed state, with little or no attention, mainly appear at occipital lobe.…”

“…Mu (m) [8,13] Hz Locates in the motor and sensorimotor cortex; the amplitude varies when the subject performs movements. Alpha (a) [8,12] Hz Indicates a relaxed state, with little or no attention, mainly appear at occipital lobe. Theta (q) [4,8] during EEG recording should be comfortable enough to avoid unwanted activities; a lying position diminishes the occurrence of some artifacts caused by feeble motion.…”

“…On the other hand, the detail also is split into the next level to yield more than different ways to encode the signal. Average coefficients in sixth sub-band: A total of 8 channels were selected from 64 available channels in the dataset and the sampling rate for each channel is 2 8 , the sub-band means (M j ) at jth level is defined as in (4.1):…”

“…Other than that, fingerprint nowadays is not secure due to the advancement of technology. There is some research showing that fingerprint can be forged and various algorithms are being developed to detect fingerprint forgery [8]. Fingerprint is public as we place it everywhere when we touch something.…”