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A Comprehensive Survey on ECG signals as New Biometric Modality for Human Authentication: Recent Advances and Future Challenges

Anthony Ngozichukwuka Uwaechia, Dzati Athiar Ramli
2021 IEEE Access  
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

Euclidean Distances as measures of speaker similarity including identical twin pairs: A forensic investigation using source and filter voice characteristics

Eugenia San Segundo, Athanasios Tsanas, Pedro Gómez-Vilda
2017 Forensic Science International  
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

Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey

Min Wang, Xuefei Yin, Yanming Zhu, Jiankun Hu
2022 Sensors  
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 [35] [36] [37] [38] [39] .  ... 
doi:10.3390/s22145111 pmid:35890799 pmcid:PMC9320620 fatcat:7cniceltrbfkjk6hxfqij5yegm