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Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction.

, , and . HAVE, page 1-6. IEEE, (2015)

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Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework., , and . HAVE, page 98-102. IEEE, (2013)Deducing user's fatigue from haptic data., , , and . ACM Multimedia, page 1083-1086. ACM, (2010)Feature selection in haptic-based handwritten signatures using rough sets., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2010)A Novel 3D Graphical Password Schema., and . VECIMS, page 125-128. IEEE, (2006)Is image-based CAPTCHA secure against attacks based on machine learning? An experimental study., and . Comput. Secur., (2020)Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data., , and . CISDA, page 1-7. IEEE, (2012)Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction., , and . HAVE, page 1-6. IEEE, (2015)Revocable handwritten signatures with haptic information., , , and . HAVE, page 108-111. IEEE, (2011)Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures., , and . IJCNN, page 2915-2922. IEEE, (2016)Identity verification based on handwritten signatures with haptic information using genetic programming., , , and . ACM Trans. Multim. Comput. Commun. Appl., 9 (2): 11:1-11:21 (2013)