On handwriting pressure normalization for interoperability of different acquisition stylus
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 fr...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | TecnoCampus |
| Repositorio: | Repositori Digital del TecnoCampus |
| OAI Identifier: | oai:repositori.tecnocampus.cat:20.500.12367/2210 |
| Acceso en línea: | http://hdl.handle.net/20.500.12367/2210 |
| Access Level: | acceso abierto |
| Palabra clave: | Biometrics Online handwriting Pressure sensor normalization |
| Sumario: | 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. |
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