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Enhanced on-line signature verification based on skilled forgery detection using Sigma-LogNormal Features.

, , , , and . ICB, page 501-506. IEEE, (2015)

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A self-organizing neural network for learning and generating sequences of target-directed movements in the context of a delta-lognormal synergy., and . ICNN, page 1999-2004. IEEE, (1995)Kinematic Synthesis for 3D Signatures., , , , , , and . IJCB, page 1-7. IEEE, (2022)Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils' Cursive Procedures of Handwriting?, , , and . The Lognormality Principle, volume 88 of Series in Machine Perception and Artificial Intelligence, World Scientific, (2020)Gesture Input for Users with Motor Impairments on Touchscreens: Empirical Results based on the Kinematic Theory., , , and . CHI Extended Abstracts, ACM, (2018)The Delta LogNormal theory for the generation and modeling of cursive characters., and . ICDAR, page 495-498. IEEE Computer Society, (1995)Design of a neuromuscular disorders diagnostic system using human movement analysis., and . ISSPA, page 787-792. IEEE, (2012)Extraction of signatures from check background based on a filiformity criterion., , and . IEEE Trans. Image Processing, 7 (10): 1425-1438 (1998)iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 42 (1): 114-125 (2020)Generating Off-line and On-line Forgeries from On-line Genuine Signatures., , , and . ICCST, page 1-6. IEEE, (2019)Muscle activation profiles based on the proportionality hypothesis of the Kinematic Theory of Human Movements., , and . ICFHR, page 331-336. IEEE, (2020)