PRESSURE DYNAMICS AS A KEY FEATURE IN ONLINE SIGNATURE BIOMETRICS
DOI:
https://doi.org/10.29121/shodhkosh.v3.i1.2022.6030Abstract [English]
Online signature verification has gained prominence as a behavioral biometric modality due to its non-intrusive acquisition and inherent individual variability. Among several dynamic parameters captured during the signing process—pressure, azimuth, altitude, and timing—this study identifies pressure as the most discriminative feature. Through systematic experimentation using the SVC 2004 dataset and Hybrid Wavelet Transform (HWT) based feature extraction, we compare classification performance using individual and combined features. The results demonstrate that pressure alone achieves higher accuracy and lower Equal Error Rate (EER) than azimuth or timing features. Statistical analysis confirms pressure’s superior consistency, discriminatory power, and robustness against forgery.
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Copyright (c) 2022 Dr. Vinayak A. Bharadi, Dr. Manoj Chavan
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