A Case Study of Data Fusion for Biometric Applications

Autor:	Sorin Puscoci, Sorin Soviany
Rok vydání:	2019
Předmět:	Fusion Biometrics Computer science Fusion rules Data mining Sensor fusion computer.software_genre computer Feature extraction algorithm Hierarchical database model
Zdroj:	2019 E-Health and Bioengineering Conference (EHB).
DOI:	10.1109/ehb47216.2019.8970003
Popis:	The paper presents a case study for using the data fusion in biometric security applications. A hierarchical data fusion is evaluated on the available data. The fusion rules do not depend on the feature extraction algorithm as in other application cases. The experimental results show the potential of the pre-classification data fusion for improving the accuracy in applications belonging to biometric and bio-medical domains. Further research efforts are still required in order to design proper fusion models that should be adapted to the particular application requirements and constraints.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b549340b9e60708fd78cea29493fc9fb https://doi.org/10.1109/ehb47216.2019.8970003 Zobrazit plný text záznamu