Identity authentication using improved online signature verification method

By Alisher Kholmatov, Berrin A. Yanikoglu. Pattern Recognition Letters, 2005

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Automatic Signature Verification: The State of the Art (2008, methodology): “SVMs have been used successfully in both offline [91], [143], [184] and online [104], [155] signature verification.”
HMM-based on-line signature verification: Feature extraction and signature modeling (2007, methodology): “In local approaches, the time functions of different signatures are directly matched by using elastic distance measures such as Dynamic Time Warping (Munich and Perona, 2003; Kholmatov and Yanikoglu, 2005; Faundez-Zanuy, 2007).”
A review of biometric technology along with trends and prospects (2014, methodology): “Table 4: Summary of behavioral modalities: Modality Feature Set Recognition Techniques Datasets Voice Spectrum, Glottal pulse features, pitch, energy, duration, rhythm, temporal features, phones, idiolects, semantics, accent, pronunciation, LPCC [204], MFCC [205], VQ [206-208], HMM [209], GMM [210, ”
Multi-Factor Authentication: A Survey (2018, background): “The point of equality between FAR and FRR is referred to as Equal Error Rate (EER) [202].”