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Among the most generally employed biometric traits include fingerprints, palmprint, iris, voice, and face recognition, and identification requires the enrolment of these traits in a database for feature ... Down-sampling improves the phase angle resolutions and makes it more straightforward to classify the corresponding ECG waveform feature required for biometric identification. ...doi:10.1109/access.2021.3095248 fatcat:6bdgelhmanb27ii25e25wkewey
finding suggests that this set of voice features is highly speaker-dependent and therefore forensically useful. ... Speaker similarity was measured using standardized Euclidean Distances (ED) between pairs of speakers: 54 different-speaker (DS) comparisons, 54 same-speaker (SS) comparisons and 12 comparisons between ... (VFER), and the Empirical Mode Decomposition Excitation Ratio (EMD-ER). ...doi:10.1016/j.forsciint.2016.11.020 pmid:27912151 pmcid:PMC5698260 fatcat:56hs6qblnrbyjm7pwguketggey
Recent research has demonstrated great potential for using cognitive biometrics in versatile applications, including biometric recognition and cognitive and emotional state recognition. ... A taxonomy is designed to structure the corresponding knowledge and guide the survey from signal acquisition and pre-processing to representation learning and pattern recognition. ... features relative to the peak, interval, amplitude, slope, angle, and power ratio are extracted      . ...doi:10.3390/s22145111 pmid:35890799 pmcid:PMC9320620 fatcat:7cniceltrbfkjk6hxfqij5yegm