Marcos Faundez-Zanuy, Olga Brotons-Rufes, Carles Paul-Recarens et Réjean Plamondon
Article de revue (2021)
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Abstract
In this paper, we present a pressure characterization and normalization procedure for online handwritten acquisition. Normalization process has been tested in biometric recognition experiments (identification and verification) using online signature database MCYT, which consists of the signatures from 330 users. The goal is to analyze the real mismatch scenarios where users are enrolled with one stylus and then, later on, they produce some testing samples using a different stylus model with different pressure response. Experimental results show: 1) a saturation behavior in pressure signal 2) different dynamic ranges in the different stylus studied 3) improved biometric recognition accuracy by means of pressure signal normalization as well as a performance degradation in mismatched conditions 4) interoperability between different stylus can be obtained by means of pressure normalization. Normalization produces an improvement in signature identification rates higher than 7% (absolute value) when compared with mismatched scenarios.
Mots clés
Plastics ; Ink ; Interoperability ; Biometrics (access control) ; Force ; Handwriting recognition ; Writing
Sujet(s): |
2500 Génie électrique et électronique > 2500 Génie électrique et électronique 2700 Technologie de l'information > 2705 Logiciels et développement 2700 Technologie de l'information > 2706 Génie logiciel |
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Département: | Département de génie électrique |
URL de PolyPublie: | https://publications.polymtl.ca/9322/ |
Titre de la revue: | IEEE Access (vol. 9) |
Maison d'édition: | IEEE |
DOI: | 10.1109/access.2021.3053499 |
URL officielle: | https://doi.org/10.1109/access.2021.3053499 |
Date du dépôt: | 27 févr. 2023 10:44 |
Dernière modification: | 05 déc. 2024 14:43 |
Citer en APA 7: | Faundez-Zanuy, M., Brotons-Rufes, O., Paul-Recarens, C., & Plamondon, R. (2021). On handwriting pressure normalization for interoperability of different acquisition stylus. IEEE Access, 9, 18443-18453. https://doi.org/10.1109/access.2021.3053499 |
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