On handwriting pressure normalization for interoperability of different acquisition stylus

Autor:	Faundez-Zanuy, Marcos, Brotons-Rufes, Olga, Paul-Recarens, Carles, Plamondon, Réjean
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Cryptography and Security Computer Science - Computer Vision and Pattern Recognition
Zdroj:	IEEE Access, vol. 9, pp. 18443-18453, 2021
Druh dokumentu:	Working Paper
DOI:	10.1109/ACCESS.2021.3053499
Popis:	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. Comment: 11 pages, published in IEEE Access, vol. 9, pp. 18443-18453, 2021
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2203.16337 Zobrazit plný text záznamu View this record from Arxiv